// SharpenComplex2=ps_2_a // Code from MPC /* Sharpen complex v2 (requires ps >= 2a) */ sampler s0 : register(s0); float4 p0 : register(c0); float4 p1 : register(c1); #define width (p0[0]) #define height (p0[1]) // "largeur" d'un pixel #define px (p1[0]) #define py (p1[1]) /* Parameters */ // pour le calcul du flou #define moyenne 0.6 #define dx (moyenne*px) #define dy (moyenne*py) #define CoefFlou 2 #define CoefOri (1+ CoefFlou) // pour le sharpen #define SharpenEdge 0.2 #define Sharpen_val0 2 #define Sharpen_val1 ((Sharpen_val0-1) / 8.0) float4 main( float2 tex : TEXCOORD0 ) : COLOR { // recup du pixel original float4 ori = tex2D(s0, tex); ; // calcul image floue (filtre gaussien) float4 c1 = tex2D(s0, tex + float2(-dx,-dy)); float4 c2 = tex2D(s0, tex + float2(0,-dy)); float4 c3 = tex2D(s0, tex + float2(dx,-dy)); float4 c4 = tex2D(s0, tex + float2(-dx,0)); float4 c5 = tex2D(s0, tex + float2(dx,0)); float4 c6 = tex2D(s0, tex + float2(-dx,dy)); float4 c7 = tex2D(s0, tex + float2(0,dy)); float4 c8 = tex2D(s0, tex + float2(dx,dy)); // filtre gaussien // [ 1, 2 , 1 ] // [ 2, 4 , 2 ] // [ 1, 2 , 1 ] // pour normaliser les valeurs, il faut diviser par la somme des coef // 1 / (1+2+1+2+4+2+1+2+1) = 1 / 16 = .0625 float4 flou = (c1+c3+c6+c8 + 2*(c2+c4+c5+c7)+ 4*ori)*0.0625; // soustraction de l'image flou ?l'image originale float4 cori = CoefOri*ori - CoefFlou*flou; // d?ection des contours // r?upp?ation des 9 voisins // [ c1, c2 , c3 ] // [ c4,ori , c5 ] // [ c6, c7 , c8 ] c1 = tex2D(s0, tex + float2(-px,-py)); c2 = tex2D(s0, tex + float2(0,-py)); c3 = tex2D(s0, tex + float2(px,-py)); c4 = tex2D(s0, tex + float2(-px,0)); c5 = tex2D(s0, tex + float2(px,0)); c6 = tex2D(s0, tex + float2(-px,py)); c7 = tex2D(s0, tex + float2(0,py)); c8 = tex2D(s0, tex + float2(px,py)); // par filtre de sobel // Gradient horizontal // [ -1, 0 ,1 ] // [ -2, 0, 2 ] // [ -1, 0 ,1 ] float delta1 = (c3 + 2*c5 + c8)-(c1 + 2*c4 + c6); // Gradient vertical // [ -1,- 2,-1 ] // [ 0, 0, 0 ] // [ 1, 2, 1 ] float delta2 = (c6 + 2*c7 + c8)-(c1 + 2*c2 + c3); // calcul if( sqrt( mul(delta1,delta1) + mul(delta2,delta2) ) >SharpenEdge ) { // si contour, sharpen //return float4(1,0,0,0); return ori*Sharpen_val0 - (c1 + c2 + c3 + c4 + c5 + c6 + c7 + c8 ) * Sharpen_val1 ; } else { // sinon, image corrig? return cori; } }