//---------------------------------------------------------------------------- // Anti-Grain Geometry - Version 2.4 // Copyright (C) 2002-2005 Maxim Shemanarev (http://www.antigrain.com) // // Permission to copy, use, modify, sell and distribute this software // is granted provided this copyright notice appears in all copies. // This software is provided "as is" without express or implied // warranty, and with no claim as to its suitability for any purpose. // //---------------------------------------------------------------------------- // Contact: mcseem@antigrain.com // mcseemagg@yahoo.com // http://www.antigrain.com //---------------------------------------------------------------------------- // // The Stack Blur Algorithm was invented by Mario Klingemann, // mario@quasimondo.com and described here: // http://incubator.quasimondo.com/processing/fast_blur_deluxe.php // (search phrase "Stackblur: Fast But Goodlooking"). // The major improvement is that there's no more division table // that was very expensive to create for large blur radii. Insted, // for 8-bit per channel and radius not exceeding 254 the division is // replaced by multiplication and shift. // //---------------------------------------------------------------------------- #ifndef AGG_BLUR_INCLUDED #define AGG_BLUR_INCLUDED #include #include #include "agg_array.h" #include "agg_pixfmt_base.h" #include "agg_pixfmt_transposer.h" namespace agg { template struct stack_blur_tables { static int16u const g_stack_blur8_mul[255]; static int8u const g_stack_blur8_shr[255]; }; //------------------------------------------------------------------------ template int16u const stack_blur_tables::g_stack_blur8_mul[255] = { 512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512, 454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512, 482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456, 437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512, 497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328, 320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456, 446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335, 329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512, 505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405, 399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328, 324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271, 268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456, 451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388, 385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335, 332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292, 289,287,285,282,280,278,275,273,271,269,267,265,263,261,259 }; //------------------------------------------------------------------------ template int8u const stack_blur_tables::g_stack_blur8_shr[255] = { 9, 11, 12, 13, 13, 14, 14, 15, 15, 15, 15, 16, 16, 16, 16, 17, 17, 17, 17, 17, 17, 17, 18, 18, 18, 18, 18, 18, 18, 18, 18, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24 }; //==============================================================stack_blur template class stack_blur { public: typedef ColorT color_type; typedef CalculatorT calculator_type; //-------------------------------------------------------------------- template void blur_x(Img& img, unsigned radius) { if(radius < 1) return; unsigned x, y, xp, i; unsigned stack_ptr; unsigned stack_start; color_type pix; color_type* stack_pix; calculator_type sum; calculator_type sum_in; calculator_type sum_out; unsigned w = img.width(); unsigned h = img.height(); unsigned wm = w - 1; unsigned div = radius * 2 + 1; unsigned div_sum = (radius + 1) * (radius + 1); unsigned mul_sum = 0; unsigned shr_sum = 0; unsigned max_val = color_type::base_mask; if(max_val <= 255 && radius < 255) { mul_sum = stack_blur_tables::g_stack_blur8_mul[radius]; shr_sum = stack_blur_tables::g_stack_blur8_shr[radius]; } m_buf.allocate(w, 128); m_stack.allocate(div, 32); for(y = 0; y < h; y++) { sum.clear(); sum_in.clear(); sum_out.clear(); pix = img.pixel(0, y); for(i = 0; i <= radius; i++) { m_stack[i] = pix; sum.add(pix, i + 1); sum_out.add(pix); } for(i = 1; i <= radius; i++) { pix = img.pixel((i > wm) ? wm : i, y); m_stack[i + radius] = pix; sum.add(pix, radius + 1 - i); sum_in.add(pix); } stack_ptr = radius; for(x = 0; x < w; x++) { if(mul_sum) sum.calc_pix(m_buf[x], mul_sum, shr_sum); else sum.calc_pix(m_buf[x], div_sum); sum.sub(sum_out); stack_start = stack_ptr + div - radius; if(stack_start >= div) stack_start -= div; stack_pix = &m_stack[stack_start]; sum_out.sub(*stack_pix); xp = x + radius + 1; if(xp > wm) xp = wm; pix = img.pixel(xp, y); *stack_pix = pix; sum_in.add(pix); sum.add(sum_in); ++stack_ptr; if(stack_ptr >= div) stack_ptr = 0; stack_pix = &m_stack[stack_ptr]; sum_out.add(*stack_pix); sum_in.sub(*stack_pix); } img.copy_color_hspan(0, y, w, &m_buf[0]); } } //-------------------------------------------------------------------- template void blur_y(Img& img, unsigned radius) { pixfmt_transposer img2(img); blur_x(img2, radius); } //-------------------------------------------------------------------- template void blur(Img& img, unsigned radius) { blur_x(img, radius); pixfmt_transposer img2(img); blur_x(img2, radius); } private: pod_vector m_buf; pod_vector m_stack; }; //====================================================stack_blur_calc_rgba template struct stack_blur_calc_rgba { typedef T value_type; value_type r,g,b,a; AGG_INLINE void clear() { r = g = b = a = 0; } template AGG_INLINE void add(const ArgT& v) { r += v.r; g += v.g; b += v.b; a += v.a; } template AGG_INLINE void add(const ArgT& v, unsigned k) { r += v.r * k; g += v.g * k; b += v.b * k; a += v.a * k; } template AGG_INLINE void sub(const ArgT& v) { r -= v.r; g -= v.g; b -= v.b; a -= v.a; } template AGG_INLINE void calc_pix(ArgT& v, unsigned div) { typedef typename ArgT::value_type value_type; v.r = value_type(r / div); v.g = value_type(g / div); v.b = value_type(b / div); v.a = value_type(a / div); } template AGG_INLINE void calc_pix(ArgT& v, unsigned mul, unsigned shr) { typedef typename ArgT::value_type value_type; v.r = value_type((r * mul) >> shr); v.g = value_type((g * mul) >> shr); v.b = value_type((b * mul) >> shr); v.a = value_type((a * mul) >> shr); } }; //=====================================================stack_blur_calc_rgb template struct stack_blur_calc_rgb { typedef T value_type; value_type r,g,b; AGG_INLINE void clear() { r = g = b = 0; } template AGG_INLINE void add(const ArgT& v) { r += v.r; g += v.g; b += v.b; } template AGG_INLINE void add(const ArgT& v, unsigned k) { r += v.r * k; g += v.g * k; b += v.b * k; } template AGG_INLINE void sub(const ArgT& v) { r -= v.r; g -= v.g; b -= v.b; } template AGG_INLINE void calc_pix(ArgT& v, unsigned div) { typedef typename ArgT::value_type value_type; v.r = value_type(r / div); v.g = value_type(g / div); v.b = value_type(b / div); } template AGG_INLINE void calc_pix(ArgT& v, unsigned mul, unsigned shr) { typedef typename ArgT::value_type value_type; v.r = value_type((r * mul) >> shr); v.g = value_type((g * mul) >> shr); v.b = value_type((b * mul) >> shr); } }; //====================================================stack_blur_calc_gray template struct stack_blur_calc_gray { typedef T value_type; value_type v; AGG_INLINE void clear() { v = 0; } template AGG_INLINE void add(const ArgT& a) { v += a.v; } template AGG_INLINE void add(const ArgT& a, unsigned k) { v += a.v * k; } template AGG_INLINE void sub(const ArgT& a) { v -= a.v; } template AGG_INLINE void calc_pix(ArgT& a, unsigned div) { typedef typename ArgT::value_type value_type; a.v = value_type(v / div); } template AGG_INLINE void calc_pix(ArgT& a, unsigned mul, unsigned shr) { typedef typename ArgT::value_type value_type; a.v = value_type((v * mul) >> shr); } }; //========================================================stack_blur_gray8 template void stack_blur_gray8(Img& img, unsigned rx, unsigned ry) { unsigned x, y, xp, yp, i; unsigned stack_ptr; unsigned stack_start; const int8u* src_pix_ptr; int8u* dst_pix_ptr; unsigned pix; unsigned stack_pix; unsigned sum; unsigned sum_in; unsigned sum_out; unsigned w = img.width(); unsigned h = img.height(); unsigned wm = w - 1; unsigned hm = h - 1; unsigned div; unsigned mul_sum; unsigned shr_sum; pod_vector stack; if(rx > 0) { if(rx > 254) rx = 254; div = rx * 2 + 1; mul_sum = stack_blur_tables::g_stack_blur8_mul[rx]; shr_sum = stack_blur_tables::g_stack_blur8_shr[rx]; stack.allocate(div); for(y = 0; y < h; y++) { sum = sum_in = sum_out = 0; src_pix_ptr = img.pix_ptr(0, y); pix = *src_pix_ptr; for(i = 0; i <= rx; i++) { stack[i] = pix; sum += pix * (i + 1); sum_out += pix; } for(i = 1; i <= rx; i++) { if(i <= wm) src_pix_ptr += Img::pix_width; pix = *src_pix_ptr; stack[i + rx] = pix; sum += pix * (rx + 1 - i); sum_in += pix; } stack_ptr = rx; xp = rx; if(xp > wm) xp = wm; src_pix_ptr = img.pix_ptr(xp, y); dst_pix_ptr = img.pix_ptr(0, y); for(x = 0; x < w; x++) { *dst_pix_ptr = (sum * mul_sum) >> shr_sum; dst_pix_ptr += Img::pix_width; sum -= sum_out; stack_start = stack_ptr + div - rx; if(stack_start >= div) stack_start -= div; sum_out -= stack[stack_start]; if(xp < wm) { src_pix_ptr += Img::pix_width; pix = *src_pix_ptr; ++xp; } stack[stack_start] = pix; sum_in += pix; sum += sum_in; ++stack_ptr; if(stack_ptr >= div) stack_ptr = 0; stack_pix = stack[stack_ptr]; sum_out += stack_pix; sum_in -= stack_pix; } } } if(ry > 0) { if(ry > 254) ry = 254; div = ry * 2 + 1; mul_sum = stack_blur_tables::g_stack_blur8_mul[ry]; shr_sum = stack_blur_tables::g_stack_blur8_shr[ry]; stack.allocate(div); int stride = img.stride(); for(x = 0; x < w; x++) { sum = sum_in = sum_out = 0; src_pix_ptr = img.pix_ptr(x, 0); pix = *src_pix_ptr; for(i = 0; i <= ry; i++) { stack[i] = pix; sum += pix * (i + 1); sum_out += pix; } for(i = 1; i <= ry; i++) { if(i <= hm) src_pix_ptr += stride; pix = *src_pix_ptr; stack[i + ry] = pix; sum += pix * (ry + 1 - i); sum_in += pix; } stack_ptr = ry; yp = ry; if(yp > hm) yp = hm; src_pix_ptr = img.pix_ptr(x, yp); dst_pix_ptr = img.pix_ptr(x, 0); for(y = 0; y < h; y++) { *dst_pix_ptr = (sum * mul_sum) >> shr_sum; dst_pix_ptr += stride; sum -= sum_out; stack_start = stack_ptr + div - ry; if(stack_start >= div) stack_start -= div; sum_out -= stack[stack_start]; if(yp < hm) { src_pix_ptr += stride; pix = *src_pix_ptr; ++yp; } stack[stack_start] = pix; sum_in += pix; sum += sum_in; ++stack_ptr; if(stack_ptr >= div) stack_ptr = 0; stack_pix = stack[stack_ptr]; sum_out += stack_pix; sum_in -= stack_pix; } } } } //========================================================stack_blur_rgb24 template void stack_blur_rgb24(Img& img, unsigned rx, unsigned ry) { typedef typename Img::color_type color_type; typedef typename Img::order_type order_type; enum order_e { R = order_type::R, G = order_type::G, B = order_type::B }; unsigned x, y, xp, yp, i; unsigned stack_ptr; unsigned stack_start; const int8u* src_pix_ptr; int8u* dst_pix_ptr; color_type* stack_pix_ptr; unsigned sum_r; unsigned sum_g; unsigned sum_b; unsigned sum_in_r; unsigned sum_in_g; unsigned sum_in_b; unsigned sum_out_r; unsigned sum_out_g; unsigned sum_out_b; unsigned w = img.width(); unsigned h = img.height(); unsigned wm = w - 1; unsigned hm = h - 1; unsigned div; unsigned mul_sum; unsigned shr_sum; pod_vector stack; if(rx > 0) { if(rx > 254) rx = 254; div = rx * 2 + 1; mul_sum = stack_blur_tables::g_stack_blur8_mul[rx]; shr_sum = stack_blur_tables::g_stack_blur8_shr[rx]; stack.allocate(div); for(y = 0; y < h; y++) { sum_r = sum_g = sum_b = sum_in_r = sum_in_g = sum_in_b = sum_out_r = sum_out_g = sum_out_b = 0; src_pix_ptr = img.pix_ptr(0, y); for(i = 0; i <= rx; i++) { stack_pix_ptr = &stack[i]; stack_pix_ptr->r = src_pix_ptr[R]; stack_pix_ptr->g = src_pix_ptr[G]; stack_pix_ptr->b = src_pix_ptr[B]; sum_r += src_pix_ptr[R] * (i + 1); sum_g += src_pix_ptr[G] * (i + 1); sum_b += src_pix_ptr[B] * (i + 1); sum_out_r += src_pix_ptr[R]; sum_out_g += src_pix_ptr[G]; sum_out_b += src_pix_ptr[B]; } for(i = 1; i <= rx; i++) { if(i <= wm) src_pix_ptr += Img::pix_width; stack_pix_ptr = &stack[i + rx]; stack_pix_ptr->r = src_pix_ptr[R]; stack_pix_ptr->g = src_pix_ptr[G]; stack_pix_ptr->b = src_pix_ptr[B]; sum_r += src_pix_ptr[R] * (rx + 1 - i); sum_g += src_pix_ptr[G] * (rx + 1 - i); sum_b += src_pix_ptr[B] * (rx + 1 - i); sum_in_r += src_pix_ptr[R]; sum_in_g += src_pix_ptr[G]; sum_in_b += src_pix_ptr[B]; } stack_ptr = rx; xp = rx; if(xp > wm) xp = wm; src_pix_ptr = img.pix_ptr(xp, y); dst_pix_ptr = img.pix_ptr(0, y); for(x = 0; x < w; x++) { dst_pix_ptr[R] = (sum_r * mul_sum) >> shr_sum; dst_pix_ptr[G] = (sum_g * mul_sum) >> shr_sum; dst_pix_ptr[B] = (sum_b * mul_sum) >> shr_sum; dst_pix_ptr += Img::pix_width; sum_r -= sum_out_r; sum_g -= sum_out_g; sum_b -= sum_out_b; stack_start = stack_ptr + div - rx; if(stack_start >= div) stack_start -= div; stack_pix_ptr = &stack[stack_start]; sum_out_r -= stack_pix_ptr->r; sum_out_g -= stack_pix_ptr->g; sum_out_b -= stack_pix_ptr->b; if(xp < wm) { src_pix_ptr += Img::pix_width; ++xp; } stack_pix_ptr->r = src_pix_ptr[R]; stack_pix_ptr->g = src_pix_ptr[G]; stack_pix_ptr->b = src_pix_ptr[B]; sum_in_r += src_pix_ptr[R]; sum_in_g += src_pix_ptr[G]; sum_in_b += src_pix_ptr[B]; sum_r += sum_in_r; sum_g += sum_in_g; sum_b += sum_in_b; ++stack_ptr; if(stack_ptr >= div) stack_ptr = 0; stack_pix_ptr = &stack[stack_ptr]; sum_out_r += stack_pix_ptr->r; sum_out_g += stack_pix_ptr->g; sum_out_b += stack_pix_ptr->b; sum_in_r -= stack_pix_ptr->r; sum_in_g -= stack_pix_ptr->g; sum_in_b -= stack_pix_ptr->b; } } } if(ry > 0) { if(ry > 254) ry = 254; div = ry * 2 + 1; mul_sum = stack_blur_tables::g_stack_blur8_mul[ry]; shr_sum = stack_blur_tables::g_stack_blur8_shr[ry]; stack.allocate(div); int stride = img.stride(); for(x = 0; x < w; x++) { sum_r = sum_g = sum_b = sum_in_r = sum_in_g = sum_in_b = sum_out_r = sum_out_g = sum_out_b = 0; src_pix_ptr = img.pix_ptr(x, 0); for(i = 0; i <= ry; i++) { stack_pix_ptr = &stack[i]; stack_pix_ptr->r = src_pix_ptr[R]; stack_pix_ptr->g = src_pix_ptr[G]; stack_pix_ptr->b = src_pix_ptr[B]; sum_r += src_pix_ptr[R] * (i + 1); sum_g += src_pix_ptr[G] * (i + 1); sum_b += src_pix_ptr[B] * (i + 1); sum_out_r += src_pix_ptr[R]; sum_out_g += src_pix_ptr[G]; sum_out_b += src_pix_ptr[B]; } for(i = 1; i <= ry; i++) { if(i <= hm) src_pix_ptr += stride; stack_pix_ptr = &stack[i + ry]; stack_pix_ptr->r = src_pix_ptr[R]; stack_pix_ptr->g = src_pix_ptr[G]; stack_pix_ptr->b = src_pix_ptr[B]; sum_r += src_pix_ptr[R] * (ry + 1 - i); sum_g += src_pix_ptr[G] * (ry + 1 - i); sum_b += src_pix_ptr[B] * (ry + 1 - i); sum_in_r += src_pix_ptr[R]; sum_in_g += src_pix_ptr[G]; sum_in_b += src_pix_ptr[B]; } stack_ptr = ry; yp = ry; if(yp > hm) yp = hm; src_pix_ptr = img.pix_ptr(x, yp); dst_pix_ptr = img.pix_ptr(x, 0); for(y = 0; y < h; y++) { dst_pix_ptr[R] = (sum_r * mul_sum) >> shr_sum; dst_pix_ptr[G] = (sum_g * mul_sum) >> shr_sum; dst_pix_ptr[B] = (sum_b * mul_sum) >> shr_sum; dst_pix_ptr += stride; sum_r -= sum_out_r; sum_g -= sum_out_g; sum_b -= sum_out_b; stack_start = stack_ptr + div - ry; if(stack_start >= div) stack_start -= div; stack_pix_ptr = &stack[stack_start]; sum_out_r -= stack_pix_ptr->r; sum_out_g -= stack_pix_ptr->g; sum_out_b -= stack_pix_ptr->b; if(yp < hm) { src_pix_ptr += stride; ++yp; } stack_pix_ptr->r = src_pix_ptr[R]; stack_pix_ptr->g = src_pix_ptr[G]; stack_pix_ptr->b = src_pix_ptr[B]; sum_in_r += src_pix_ptr[R]; sum_in_g += src_pix_ptr[G]; sum_in_b += src_pix_ptr[B]; sum_r += sum_in_r; sum_g += sum_in_g; sum_b += sum_in_b; ++stack_ptr; if(stack_ptr >= div) stack_ptr = 0; stack_pix_ptr = &stack[stack_ptr]; sum_out_r += stack_pix_ptr->r; sum_out_g += stack_pix_ptr->g; sum_out_b += stack_pix_ptr->b; sum_in_r -= stack_pix_ptr->r; sum_in_g -= stack_pix_ptr->g; sum_in_b -= stack_pix_ptr->b; } } } } //=======================================================stack_blur_rgba32 template void stack_blur_rgba32(Img& img, unsigned rx, unsigned ry) { typedef typename Img::color_type color_type; typedef typename Img::order_type order_type; enum order_e { R = order_type::R, G = order_type::G, B = order_type::B, A = order_type::A }; unsigned x, y, xp, yp, i; unsigned stack_ptr; unsigned stack_start; const int8u* src_pix_ptr; int8u* dst_pix_ptr; color_type* stack_pix_ptr; unsigned sum_r; unsigned sum_g; unsigned sum_b; unsigned sum_a; unsigned sum_in_r; unsigned sum_in_g; unsigned sum_in_b; unsigned sum_in_a; unsigned sum_out_r; unsigned sum_out_g; unsigned sum_out_b; unsigned sum_out_a; unsigned w = img.width(); unsigned h = img.height(); unsigned wm = w - 1; unsigned hm = h - 1; unsigned div; unsigned mul_sum; unsigned shr_sum; pod_vector stack; if(rx > 0) { if(rx > 254) rx = 254; div = rx * 2 + 1; mul_sum = stack_blur_tables::g_stack_blur8_mul[rx]; shr_sum = stack_blur_tables::g_stack_blur8_shr[rx]; stack.allocate(div); for(y = 0; y < h; y++) { sum_r = sum_g = sum_b = sum_a = sum_in_r = sum_in_g = sum_in_b = sum_in_a = sum_out_r = sum_out_g = sum_out_b = sum_out_a = 0; src_pix_ptr = img.pix_ptr(0, y); for(i = 0; i <= rx; i++) { stack_pix_ptr = &stack[i]; stack_pix_ptr->r = src_pix_ptr[R]; stack_pix_ptr->g = src_pix_ptr[G]; stack_pix_ptr->b = src_pix_ptr[B]; stack_pix_ptr->a = src_pix_ptr[A]; sum_r += src_pix_ptr[R] * (i + 1); sum_g += src_pix_ptr[G] * (i + 1); sum_b += src_pix_ptr[B] * (i + 1); sum_a += src_pix_ptr[A] * (i + 1); sum_out_r += src_pix_ptr[R]; sum_out_g += src_pix_ptr[G]; sum_out_b += src_pix_ptr[B]; sum_out_a += src_pix_ptr[A]; } for(i = 1; i <= rx; i++) { if(i <= wm) src_pix_ptr += Img::pix_width; stack_pix_ptr = &stack[i + rx]; stack_pix_ptr->r = src_pix_ptr[R]; stack_pix_ptr->g = src_pix_ptr[G]; stack_pix_ptr->b = src_pix_ptr[B]; stack_pix_ptr->a = src_pix_ptr[A]; sum_r += src_pix_ptr[R] * (rx + 1 - i); sum_g += src_pix_ptr[G] * (rx + 1 - i); sum_b += src_pix_ptr[B] * (rx + 1 - i); sum_a += src_pix_ptr[A] * (rx + 1 - i); sum_in_r += src_pix_ptr[R]; sum_in_g += src_pix_ptr[G]; sum_in_b += src_pix_ptr[B]; sum_in_a += src_pix_ptr[A]; } stack_ptr = rx; xp = rx; if(xp > wm) xp = wm; src_pix_ptr = img.pix_ptr(xp, y); dst_pix_ptr = img.pix_ptr(0, y); for(x = 0; x < w; x++) { dst_pix_ptr[R] = (sum_r * mul_sum) >> shr_sum; dst_pix_ptr[G] = (sum_g * mul_sum) >> shr_sum; dst_pix_ptr[B] = (sum_b * mul_sum) >> shr_sum; dst_pix_ptr[A] = (sum_a * mul_sum) >> shr_sum; dst_pix_ptr += Img::pix_width; sum_r -= sum_out_r; sum_g -= sum_out_g; sum_b -= sum_out_b; sum_a -= sum_out_a; stack_start = stack_ptr + div - rx; if(stack_start >= div) stack_start -= div; stack_pix_ptr = &stack[stack_start]; sum_out_r -= stack_pix_ptr->r; sum_out_g -= stack_pix_ptr->g; sum_out_b -= stack_pix_ptr->b; sum_out_a -= stack_pix_ptr->a; if(xp < wm) { src_pix_ptr += Img::pix_width; ++xp; } stack_pix_ptr->r = src_pix_ptr[R]; stack_pix_ptr->g = src_pix_ptr[G]; stack_pix_ptr->b = src_pix_ptr[B]; stack_pix_ptr->a = src_pix_ptr[A]; sum_in_r += src_pix_ptr[R]; sum_in_g += src_pix_ptr[G]; sum_in_b += src_pix_ptr[B]; sum_in_a += src_pix_ptr[A]; sum_r += sum_in_r; sum_g += sum_in_g; sum_b += sum_in_b; sum_a += sum_in_a; ++stack_ptr; if(stack_ptr >= div) stack_ptr = 0; stack_pix_ptr = &stack[stack_ptr]; sum_out_r += stack_pix_ptr->r; sum_out_g += stack_pix_ptr->g; sum_out_b += stack_pix_ptr->b; sum_out_a += stack_pix_ptr->a; sum_in_r -= stack_pix_ptr->r; sum_in_g -= stack_pix_ptr->g; sum_in_b -= stack_pix_ptr->b; sum_in_a -= stack_pix_ptr->a; } } } if(ry > 0) { if(ry > 254) ry = 254; div = ry * 2 + 1; mul_sum = stack_blur_tables::g_stack_blur8_mul[ry]; shr_sum = stack_blur_tables::g_stack_blur8_shr[ry]; stack.allocate(div); int stride = img.stride(); for(x = 0; x < w; x++) { sum_r = sum_g = sum_b = sum_a = sum_in_r = sum_in_g = sum_in_b = sum_in_a = sum_out_r = sum_out_g = sum_out_b = sum_out_a = 0; src_pix_ptr = img.pix_ptr(x, 0); for(i = 0; i <= ry; i++) { stack_pix_ptr = &stack[i]; stack_pix_ptr->r = src_pix_ptr[R]; stack_pix_ptr->g = src_pix_ptr[G]; stack_pix_ptr->b = src_pix_ptr[B]; stack_pix_ptr->a = src_pix_ptr[A]; sum_r += src_pix_ptr[R] * (i + 1); sum_g += src_pix_ptr[G] * (i + 1); sum_b += src_pix_ptr[B] * (i + 1); sum_a += src_pix_ptr[A] * (i + 1); sum_out_r += src_pix_ptr[R]; sum_out_g += src_pix_ptr[G]; sum_out_b += src_pix_ptr[B]; sum_out_a += src_pix_ptr[A]; } for(i = 1; i <= ry; i++) { if(i <= hm) src_pix_ptr += stride; stack_pix_ptr = &stack[i + ry]; stack_pix_ptr->r = src_pix_ptr[R]; stack_pix_ptr->g = src_pix_ptr[G]; stack_pix_ptr->b = src_pix_ptr[B]; stack_pix_ptr->a = src_pix_ptr[A]; sum_r += src_pix_ptr[R] * (ry + 1 - i); sum_g += src_pix_ptr[G] * (ry + 1 - i); sum_b += src_pix_ptr[B] * (ry + 1 - i); sum_a += src_pix_ptr[A] * (ry + 1 - i); sum_in_r += src_pix_ptr[R]; sum_in_g += src_pix_ptr[G]; sum_in_b += src_pix_ptr[B]; sum_in_a += src_pix_ptr[A]; } stack_ptr = ry; yp = ry; if(yp > hm) yp = hm; src_pix_ptr = img.pix_ptr(x, yp); dst_pix_ptr = img.pix_ptr(x, 0); for(y = 0; y < h; y++) { dst_pix_ptr[R] = (sum_r * mul_sum) >> shr_sum; dst_pix_ptr[G] = (sum_g * mul_sum) >> shr_sum; dst_pix_ptr[B] = (sum_b * mul_sum) >> shr_sum; dst_pix_ptr[A] = (sum_a * mul_sum) >> shr_sum; dst_pix_ptr += stride; sum_r -= sum_out_r; sum_g -= sum_out_g; sum_b -= sum_out_b; sum_a -= sum_out_a; stack_start = stack_ptr + div - ry; if(stack_start >= div) stack_start -= div; stack_pix_ptr = &stack[stack_start]; sum_out_r -= stack_pix_ptr->r; sum_out_g -= stack_pix_ptr->g; sum_out_b -= stack_pix_ptr->b; sum_out_a -= stack_pix_ptr->a; if(yp < hm) { src_pix_ptr += stride; ++yp; } stack_pix_ptr->r = src_pix_ptr[R]; stack_pix_ptr->g = src_pix_ptr[G]; stack_pix_ptr->b = src_pix_ptr[B]; stack_pix_ptr->a = src_pix_ptr[A]; sum_in_r += src_pix_ptr[R]; sum_in_g += src_pix_ptr[G]; sum_in_b += src_pix_ptr[B]; sum_in_a += src_pix_ptr[A]; sum_r += sum_in_r; sum_g += sum_in_g; sum_b += sum_in_b; sum_a += sum_in_a; ++stack_ptr; if(stack_ptr >= div) stack_ptr = 0; stack_pix_ptr = &stack[stack_ptr]; sum_out_r += stack_pix_ptr->r; sum_out_g += stack_pix_ptr->g; sum_out_b += stack_pix_ptr->b; sum_out_a += stack_pix_ptr->a; sum_in_r -= stack_pix_ptr->r; sum_in_g -= stack_pix_ptr->g; sum_in_b -= stack_pix_ptr->b; sum_in_a -= stack_pix_ptr->a; } } } } //===========================================================recursive_blur template class recursive_blur { public: typedef ColorT color_type; typedef CalculatorT calculator_type; typedef typename color_type::value_type value_type; typedef typename calculator_type::value_type calc_type; //-------------------------------------------------------------------- template void blur_x(Img& img, double radius) { if(radius < 0.62) return; if(img.width() < 3) return; calc_type s = calc_type(radius * 0.5); calc_type q = calc_type((s < 2.5) ? 3.97156 - 4.14554 * std::sqrt(1 - 0.26891 * s) : 0.98711 * s - 0.96330); calc_type q2 = calc_type(q * q); calc_type q3 = calc_type(q2 * q); calc_type b0 = calc_type(1.0 / (1.578250 + 2.444130 * q + 1.428100 * q2 + 0.422205 * q3)); calc_type b1 = calc_type( 2.44413 * q + 2.85619 * q2 + 1.26661 * q3); calc_type b2 = calc_type(-1.42810 * q2 + -1.26661 * q3); calc_type b3 = calc_type(0.422205 * q3); calc_type b = calc_type(1 - (b1 + b2 + b3) * b0); b1 *= b0; b2 *= b0; b3 *= b0; int w = img.width(); int h = img.height(); int wm = w-1; int x, y; m_sum1.allocate(w); m_sum2.allocate(w); m_buf.allocate(w); for(y = 0; y < h; y++) { calculator_type c; c.from_pix(img.pixel(0, y)); m_sum1[0].calc(b, b1, b2, b3, c, c, c, c); c.from_pix(img.pixel(1, y)); m_sum1[1].calc(b, b1, b2, b3, c, m_sum1[0], m_sum1[0], m_sum1[0]); c.from_pix(img.pixel(2, y)); m_sum1[2].calc(b, b1, b2, b3, c, m_sum1[1], m_sum1[0], m_sum1[0]); for(x = 3; x < w; ++x) { c.from_pix(img.pixel(x, y)); m_sum1[x].calc(b, b1, b2, b3, c, m_sum1[x-1], m_sum1[x-2], m_sum1[x-3]); } m_sum2[wm ].calc(b, b1, b2, b3, m_sum1[wm ], m_sum1[wm ], m_sum1[wm], m_sum1[wm]); m_sum2[wm-1].calc(b, b1, b2, b3, m_sum1[wm-1], m_sum2[wm ], m_sum2[wm], m_sum2[wm]); m_sum2[wm-2].calc(b, b1, b2, b3, m_sum1[wm-2], m_sum2[wm-1], m_sum2[wm], m_sum2[wm]); m_sum2[wm ].to_pix(m_buf[wm ]); m_sum2[wm-1].to_pix(m_buf[wm-1]); m_sum2[wm-2].to_pix(m_buf[wm-2]); for(x = wm-3; x >= 0; --x) { m_sum2[x].calc(b, b1, b2, b3, m_sum1[x], m_sum2[x+1], m_sum2[x+2], m_sum2[x+3]); m_sum2[x].to_pix(m_buf[x]); } img.copy_color_hspan(0, y, w, &m_buf[0]); } } //-------------------------------------------------------------------- template void blur_y(Img& img, double radius) { pixfmt_transposer img2(img); blur_x(img2, radius); } //-------------------------------------------------------------------- template void blur(Img& img, double radius) { blur_x(img, radius); pixfmt_transposer img2(img); blur_x(img2, radius); } private: agg::pod_vector m_sum1; agg::pod_vector m_sum2; agg::pod_vector m_buf; }; //=================================================recursive_blur_calc_rgba template struct recursive_blur_calc_rgba { typedef T value_type; typedef recursive_blur_calc_rgba self_type; value_type r,g,b,a; template AGG_INLINE void from_pix(const ColorT& c) { r = c.r; g = c.g; b = c.b; a = c.a; } AGG_INLINE void calc(value_type b1, value_type b2, value_type b3, value_type b4, const self_type& c1, const self_type& c2, const self_type& c3, const self_type& c4) { r = b1*c1.r + b2*c2.r + b3*c3.r + b4*c4.r; g = b1*c1.g + b2*c2.g + b3*c3.g + b4*c4.g; b = b1*c1.b + b2*c2.b + b3*c3.b + b4*c4.b; a = b1*c1.a + b2*c2.a + b3*c3.a + b4*c4.a; } template AGG_INLINE void to_pix(ColorT& c) const { typedef typename ColorT::value_type cv_type; c.r = cv_type(r); c.g = cv_type(g); c.b = cv_type(b); c.a = cv_type(a); } }; //=================================================recursive_blur_calc_rgb template struct recursive_blur_calc_rgb { typedef T value_type; typedef recursive_blur_calc_rgb self_type; value_type r,g,b; template AGG_INLINE void from_pix(const ColorT& c) { r = c.r; g = c.g; b = c.b; } AGG_INLINE void calc(value_type b1, value_type b2, value_type b3, value_type b4, const self_type& c1, const self_type& c2, const self_type& c3, const self_type& c4) { r = b1*c1.r + b2*c2.r + b3*c3.r + b4*c4.r; g = b1*c1.g + b2*c2.g + b3*c3.g + b4*c4.g; b = b1*c1.b + b2*c2.b + b3*c3.b + b4*c4.b; } template AGG_INLINE void to_pix(ColorT& c) const { typedef typename ColorT::value_type cv_type; c.r = cv_type(r); c.g = cv_type(g); c.b = cv_type(b); } }; //================================================recursive_blur_calc_gray template struct recursive_blur_calc_gray { typedef T value_type; typedef recursive_blur_calc_gray self_type; value_type v; template AGG_INLINE void from_pix(const ColorT& c) { v = c.v; } AGG_INLINE void calc(value_type b1, value_type b2, value_type b3, value_type b4, const self_type& c1, const self_type& c2, const self_type& c3, const self_type& c4) { v = b1*c1.v + b2*c2.v + b3*c3.v + b4*c4.v; } template AGG_INLINE void to_pix(ColorT& c) const { typedef typename ColorT::value_type cv_type; c.v = cv_type(v); } }; //================================================slight_blur // Special-purpose filter for applying a Gaussian blur with a radius small enough // that the blur only affects adjacent pixels. A Gaussian curve with a standard // deviation of r/2 is used, as per the HTML/CSS spec. At 3 standard deviations, // the contribution drops to less than 0.005, i.e. less than half a percent, // therefore the radius can be at least 1.33 before errors become significant. // This filter is useful for smoothing artifacts caused by detail rendered // at the pixel scale, e.g. single-pixel lines. Note that the filter should // only be used with premultiplied pixel formats (or those without alpha). // See the "line_thickness" example for a demonstration. template class slight_blur { public: typedef typename PixFmt::pixel_type pixel_type; typedef typename PixFmt::value_type value_type; typedef typename PixFmt::order_type order_type; slight_blur(double r = 1.33) { radius(r); } void radius(double r) { if (r > 0) { // Sample the gaussian curve at 0 and r/2 standard deviations. // At 3 standard deviations, the response is < 0.005. double pi = 3.14159; double n = 2 / r; m_g0 = 1 / std::sqrt(2 * pi); m_g1 = m_g0 * exp(-n * n); // Normalize. double sum = m_g0 + 2 * m_g1; m_g0 /= sum; m_g1 /= sum; } else { m_g0 = 1; m_g1 = 0; } } void blur(PixFmt& img, rect_i bounds) { // Make sure we stay within the image area. bounds.clip(rect_i(0, 0, img.width() - 1, img.height() - 1)); int w = bounds.x2 - bounds.x1 + 1; int h = bounds.y2 - bounds.y1 + 1; if (w < 3 || h < 3) return; // Allocate 3 rows of buffer space. m_buf.allocate(w * 3); // Set up row pointers pixel_type * begin = &m_buf[0]; pixel_type * r0 = begin; pixel_type * r1 = r0 + w; pixel_type * r2 = r1 + w; pixel_type * end = r2 + w; // Horizontally blur the first two input rows. calc_row(img, bounds.x1, bounds.y1, w, r0); std::memcpy(r1, r0, w * sizeof(pixel_type)); for (int y = 0; ; ) { // Get pointer to first pixel. pixel_type* p = img.pix_value_ptr(bounds.x1, bounds.y1 + y, bounds.x1 + w); // Horizontally blur the row below. if (y + 1 < h) { calc_row(img, bounds.x1, bounds.y1 + y + 1, w, r2); } else { std::memcpy(r2, r1, w * sizeof(pixel_type)); // duplicate bottom row } // Combine blurred rows into destination. for (int x = 0; x < w; ++x) { calc_pixel(*r0++, *r1++, *r2++, *p++); } if (++y >= h) break; // Wrap bottom row pointer around to top of buffer. if (r2 == end) r2 = begin; else if (r1 == end) r1 = begin; else if (r0 == end) r0 = begin; } } private: void calc_row(PixFmt& img, int x, int y, int w, pixel_type* row) { const int wm = w - 1; pixel_type* p = img.pix_value_ptr(x, y, w); pixel_type c[3]; pixel_type* p0 = c; pixel_type* p1 = c + 1; pixel_type* p2 = c + 2; pixel_type* end = c + 3; *p0 = *p1 = *p; for (int x = 0; x < wm; ++x) { *p2 = *(p = p->next()); calc_pixel(*p0++, *p1++, *p2++, *row++); if (p0 == end) p0 = c; else if (p1 == end) p1 = c; else if (p2 == end) p2 = c; } calc_pixel(*p0, *p1, *p1, *row); } void calc_pixel( pixel_type const & c1, pixel_type const & c2, pixel_type const & c3, pixel_type & x) { calc_pixel(c1, c2, c3, x, PixFmt::pixfmt_category()); } void calc_pixel( pixel_type const & c1, pixel_type const & c2, pixel_type const & c3, pixel_type & x, pixfmt_gray_tag) { x.c[0] = calc_value(c1.c[0], c2.c[0], c3.c[0]); } void calc_pixel( pixel_type const & c1, pixel_type const & c2, pixel_type const & c3, pixel_type & x, pixfmt_rgb_tag) { enum { R = order_type::R, G = order_type::G, B = order_type::B }; x.c[R] = calc_value(c1.c[R], c2.c[R], c3.c[R]); x.c[G] = calc_value(c1.c[G], c2.c[G], c3.c[G]); x.c[B] = calc_value(c1.c[B], c2.c[B], c3.c[B]); } void calc_pixel( pixel_type const & c1, pixel_type const & c2, pixel_type const & c3, pixel_type & x, pixfmt_rgba_tag) { enum { R = order_type::R, G = order_type::G, B = order_type::B, A = order_type::A }; x.c[R] = calc_value(c1.c[R], c2.c[R], c3.c[R]); x.c[G] = calc_value(c1.c[G], c2.c[G], c3.c[G]); x.c[B] = calc_value(c1.c[B], c2.c[B], c3.c[B]); x.c[A] = calc_value(c1.c[A], c2.c[A], c3.c[A]); } value_type calc_value(value_type v1, value_type v2, value_type v3) { return value_type(m_g1 * v1 + m_g0 * v2 + m_g1 * v3); } double m_g0, m_g1; pod_vector m_buf; }; // Helper functions for applying blur to a surface without having to create an intermediate object. template void apply_slight_blur(PixFmt& img, const rect_i& bounds, double r = 1) { if (r > 0) slight_blur(r).blur(img, bounds); } template void apply_slight_blur(PixFmt& img, double r = 1) { if (r > 0) slight_blur(r).blur(img, rect_i(0, 0, img.width() - 1, img.height() - 1)); } template void apply_slight_blur(renderer_base& img, const rect_i& bounds, double r = 1) { if (r > 0) slight_blur(r).blur(img.ren(), bounds); } template void apply_slight_blur(renderer_base& img, double r = 1) { if (r > 0) slight_blur(r).blur(img.ren(), img.clip_box()); } } #endif