frodovdr/vdr-plugin-softhdcuvid
1
0
Fork 0
mirror of https://github.com/jojo61/vdr-plugin-softhdcuvid.git synced 2023-10-10 13:37:41 +02:00
Code Issues Releases Wiki Activity
177e44de98
vdr-plugin-softhdcuvid/shaders/adaptive-sharpen.glsl
Dirk Nehring 177e44de98 - switch from indent to clang-format, which is supported by Visual Studio Code 
- reindent all sources to common code style
- fix include sort errors from clang-format
- update AGPL 3.0 license file
2021-12-27 20:02:45 +01:00

247 lines
11 KiB
GLSL
Raw Blame History

// Copyright (c) 2015-2018, bacondither
// All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions
// are met:
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer
// in this position and unchanged.
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
//
// THIS SOFTWARE IS PROVIDED BY THE AUTHORS ``AS IS'' AND ANY EXPRESS OR
// IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
// OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
// IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT,
// INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
// NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF
// THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
// Adaptive sharpen - version 2018-04-14 - (requires ps >= 3.0)
// Tuned for use post resize
//!HOOK SCALED
//!BIND HOOKED
//!SAVE ASSD
//!COMPONENTS 2
//!DESC adaptive-sharpen
//--------------------------------------- Settings ------------------------------------------------
#define curve_height 1.6 // Main control of sharpening strength [>0]
// 0.3 <-> 2.0 is a reasonable range of values
// Defined values under this row are "optimal" DO NOT CHANGE IF YOU DO NOT KNOW WHAT YOU ARE DOING!
#define curveslope 0.5 // Sharpening curve slope, high edge values
#define L_overshoot 0.003 // Max light overshoot before compression [>0.001]
#define L_compr_low 0.167 // Light compression, default (0.169=~9x)
#define L_compr_high 0.334 // Light compression, surrounded by edges (0.337=~4x)
#define D_overshoot 0.009 // Max dark overshoot before compression [>0.001]
#define D_compr_low 0.250 // Dark compression, default (0.253=~6x)
#define D_compr_high 0.500 // Dark compression, surrounded by edges (0.504=~2.5x)
#define scale_lim 0.1 // Abs max change before compression (0.1=+-10%)
#define scale_cs 0.056 // Compression slope above scale_lim
#define pm_p sat(1.0/curve_height) // Power mean p-value [>0-1.0]
//-------------------------------------------------------------------------------------------------
// Soft limit
#define soft_lim(v,s) ( (exp(2.0*min(abs(v), s*24.0)/s) - 1.0)/(exp(2.0*min(abs(v), s*24.0)/s) + 1.0)*s )
// Weighted power mean
#define wpmean(a,b,c) ( pow((c*pow(abs(a), pm_p) + (1.0-c)*pow(b, pm_p)), (1.0/pm_p)) )
// Get destination pixel values
#define get(x,y) ( HOOKED_texOff(vec2(x, y)).rgb )
#define sat(x) ( clamp(x, 0.0, 1.0) )
// Colour to luma, fast approx gamma, avg of rec. 709 & 601 luma coeffs
#define CtL(RGB) ( sqrt(dot(vec3(0.2558, 0.6511, 0.0931), pow(sat(RGB), vec3(2.0)))) )
// Center pixel diff
#define mdiff(a,b,c,d,e,f,g) ( abs(luma[g]-luma[a]) + abs(luma[g]-luma[b]) \
+ abs(luma[g]-luma[c]) + abs(luma[g]-luma[d]) \
+ 0.5*(abs(luma[g]-luma[e]) + abs(luma[g]-luma[f])) )
#define b_diff(pix) ( abs(blur-c[pix]) )
vec4 hook() {
vec4 o = HOOKED_tex(HOOKED_pos);
// Get points, saturate colour data in c[0]
// [ c22 ]
// [ c24, c9, c23 ]
// [ c21, c1, c2, c3, c18 ]
// [ c19, c10, c4, c0, c5, c11, c16 ]
// [ c20, c6, c7, c8, c17 ]
// [ c15, c12, c14 ]
// [ c13 ]
vec3 c[25] = vec3[](sat(o.rgb), get(-1,-1), get( 0,-1), get( 1,-1), get(-1, 0),
get( 1, 0), get(-1, 1), get( 0, 1), get( 1, 1), get( 0,-2),
get(-2, 0), get( 2, 0), get( 0, 2), get( 0, 3), get( 1, 2),
get(-1, 2), get( 3, 0), get( 2, 1), get( 2,-1), get(-3, 0),
get(-2, 1), get(-2,-1), get( 0,-3), get( 1,-2), get(-1,-2));
// Blur, gauss 3x3
vec3 blur = (2.0 * (c[2]+c[4]+c[5]+c[7]) + (c[1]+c[3]+c[6]+c[8]) + 4.0 * c[0]) / 16.0;
// Contrast compression, center = 0.5, scaled to 1/3
float c_comp = sat(0.266666681f + 0.9*exp2(dot(blur, vec3(-7.4/3.0))));
// Edge detection
// Relative matrix weights
// [ 1 ]
// [ 4, 5, 4 ]
// [ 1, 5, 6, 5, 1 ]
// [ 4, 5, 4 ]
// [ 1 ]
float edge = length( 1.38*b_diff(0)
+ 1.15*(b_diff(2) + b_diff(4) + b_diff(5) + b_diff(7))
+ 0.92*(b_diff(1) + b_diff(3) + b_diff(6) + b_diff(8))
+ 0.23*(b_diff(9) + b_diff(10) + b_diff(11) + b_diff(12)) ) * c_comp;
// RGB to luma
float c0_Y = CtL(c[0]);
float luma[25] = float[](c0_Y, CtL(c[1]), CtL(c[2]), CtL(c[3]), CtL(c[4]), CtL(c[5]), CtL(c[6]),
CtL(c[7]), CtL(c[8]), CtL(c[9]), CtL(c[10]), CtL(c[11]), CtL(c[12]),
CtL(c[13]), CtL(c[14]), CtL(c[15]), CtL(c[16]), CtL(c[17]), CtL(c[18]),
CtL(c[19]), CtL(c[20]), CtL(c[21]), CtL(c[22]), CtL(c[23]), CtL(c[24]));
// Precalculated default squared kernel weights
const vec3 w1 = vec3(0.5, 1.0, 1.41421356237); // 0.25, 1.0, 2.0
const vec3 w2 = vec3(0.86602540378, 1.0, 0.54772255751); // 0.75, 1.0, 0.3
// Transition to a concave kernel if the center edge val is above thr
vec3 dW = pow(mix( w1, w2, smoothstep( 0.3, 0.8, edge)), vec3(2.0));
float mdiff_c0 = 0.02 + 3.0*( abs(luma[0]-luma[2]) + abs(luma[0]-luma[4])
+ abs(luma[0]-luma[5]) + abs(luma[0]-luma[7])
+ 0.25*(abs(luma[0]-luma[1]) + abs(luma[0]-luma[3])
+abs(luma[0]-luma[6]) + abs(luma[0]-luma[8])) );
// Use lower weights for pixels in a more active area relative to center pixel area
// This results in narrower and less visible overshoots around sharp edges
float weights[12] = float[](( min((mdiff_c0/mdiff(24, 21, 2, 4, 9, 10, 1)), dW.y) ),
( dW.x ),
( min((mdiff_c0/mdiff(23, 18, 5, 2, 9, 11, 3)), dW.y) ),
( dW.x ),
( dW.x ),
( min((mdiff_c0/mdiff(4, 20, 15, 7, 10, 12, 6)), dW.y) ),
( dW.x ),
( min((mdiff_c0/mdiff(5, 7, 17, 14, 12, 11, 8)), dW.y) ),
( min((mdiff_c0/mdiff(2, 24, 23, 22, 1, 3, 9)), dW.z) ),
( min((mdiff_c0/mdiff(20, 19, 21, 4, 1, 6, 10)), dW.z) ),
( min((mdiff_c0/mdiff(17, 5, 18, 16, 3, 8, 11)), dW.z) ),
( min((mdiff_c0/mdiff(13, 15, 7, 14, 6, 8, 12)), dW.z) ));
weights[0] = (max(max((weights[8] + weights[9])/4.0, weights[0]), 0.25) + weights[0])/2.0;
weights[2] = (max(max((weights[8] + weights[10])/4.0, weights[2]), 0.25) + weights[2])/2.0;
weights[5] = (max(max((weights[9] + weights[11])/4.0, weights[5]), 0.25) + weights[5])/2.0;
weights[7] = (max(max((weights[10] + weights[11])/4.0, weights[7]), 0.25) + weights[7])/2.0;
// Calculate the negative part of the laplace kernel
float weightsum = 0.0;
float neg_laplace = 0.0;
for (int pix = 0; pix < 12; ++pix)
{
neg_laplace += luma[pix+1]*weights[pix];
weightsum += weights[pix];
}
neg_laplace = neg_laplace / weightsum;
// Compute sharpening magnitude function
float sharpen_val = (curve_height/(curve_height*curveslope*pow((edge), 3.5) + 0.625));
// Calculate sharpening diff and scale
float sharpdiff = (c0_Y - neg_laplace)*(sharpen_val + 0.01);
// Calculate local near min & max, partial sort
float temp;
for (int i1 = 0; i1 < 24; i1 += 2)
{
temp = luma[i1];
luma[i1] = min(luma[i1], luma[i1+1]);
luma[i1+1] = max(temp, luma[i1+1]);
}
for (int i2 = 24; i2 > 0; i2 -= 2)
{
temp = luma[0];
luma[0] = min(luma[0], luma[i2]);
luma[i2] = max(temp, luma[i2]);
temp = luma[24];
luma[24] = max(luma[24], luma[i2-1]);
luma[i2-1] = min(temp, luma[i2-1]);
}
for (int i1 = 1; i1 < 24-1; i1 += 2)
{
temp = luma[i1];
luma[i1] = min(luma[i1], luma[i1+1]);
luma[i1+1] = max(temp, luma[i1+1]);
}
for (int i2 = 24-1; i2 > 1; i2 -= 2)
{
temp = luma[1];
luma[1] = min(luma[1], luma[i2]);
luma[i2] = max(temp, luma[i2]);
temp = luma[24-1];
luma[24-1] = max(luma[24-1], luma[i2-1]);
luma[i2-1] = min(temp, luma[i2-1]);
}
float nmax = (max(luma[23], c0_Y)*3.0 + luma[24])/4.0;
float nmin = (min(luma[1], c0_Y)*3.0 + luma[0])/4.0;
// Calculate tanh scale factors
float min_dist = min(abs(nmax - c0_Y), abs(c0_Y - nmin));
float pos_scale = min_dist + min(L_overshoot, 1.0001 - min_dist - c0_Y);
float neg_scale = min_dist + min(D_overshoot, 0.0001 + c0_Y - min_dist);
pos_scale = min(pos_scale, scale_lim*(1.0 - scale_cs) + pos_scale*scale_cs);
neg_scale = min(neg_scale, scale_lim*(1.0 - scale_cs) + neg_scale*scale_cs);
// Soft limited anti-ringing with tanh, wpmean to control compression slope
sharpdiff = wpmean(max(sharpdiff, 0.0), soft_lim( max(sharpdiff, 0.0), pos_scale ), L_compr_low )
- wpmean(min(sharpdiff, 0.0), soft_lim( min(sharpdiff, 0.0), neg_scale ), D_compr_low );
return vec4(sharpdiff, c0_Y, 0, 1);
}
//!HOOK SCALED
//!BIND HOOKED
//!BIND ASSD
//!DESC adaptive-sharpen equalization
#define video_level_out false // True to preserve BTB & WTW (minor summation error)
// Normally it should be set to false
#define SD(x,y) ASSD_texOff(vec2(x,y)).r
vec4 hook() {
vec4 o = HOOKED_texOff(0);
float sharpdiff = SD( 0, 0) - 0.6 * 0.25 * (SD(-0.5,-0.5) + SD( 0.5,-0.5) + SD(-0.5, 0.5) + SD( 0.5, 0.5));
float c0_Y = ASSD_texOff(vec2(0)).g;
float sharpdiff_lim = clamp(c0_Y + sharpdiff, 0.0, 1.0) - c0_Y;
float satmul = (c0_Y + max(sharpdiff_lim*0.9, sharpdiff_lim)*1.03 + 0.03)/(c0_Y + 0.03);
vec3 res = c0_Y + (sharpdiff_lim*3 + sharpdiff)/4 + (clamp(o.rgb, 0.0, 1.0) - c0_Y)*satmul;
o.rgb = video_level_out == true ? res + o.rgb - clamp(o.rgb, 0.0, 1.0) : res;
return o;
}
Reference in New Issue View Git Blame Copy Permalink