1 /* 2 * Copyright (c) 2003, 2013, Oracle and/or its affiliates. All rights reserved. 3 * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. 4 * 5 * This code is free software; you can redistribute it and/or modify it 6 * under the terms of the GNU General Public License version 2 only, as 7 * published by the Free Software Foundation. Oracle designates this 8 * particular file as subject to the "Classpath" exception as provided 9 * by Oracle in the LICENSE file that accompanied this code. 10 * 11 * This code is distributed in the hope that it will be useful, but WITHOUT 12 * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or 13 * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License 14 * version 2 for more details (a copy is included in the LICENSE file that 15 * accompanied this code). 16 * 17 * You should have received a copy of the GNU General Public License version 18 * 2 along with this work; if not, write to the Free Software Foundation, 19 * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. 20 * 21 * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA 22 * or visit www.oracle.com if you need additional information or have any 23 * questions. 24 */ 25 26 27 /* 28 * FUNCTION 29 * mlib_ImageConvMxN - image convolution with edge condition 30 * 31 * SYNOPSIS 32 * mlib_status mlib_ImageConvMxN(mlib_image *dst, 33 * const mlib_image *src, 34 * const mlib_s32 *kernel, 35 * mlib_s32 m, 36 * mlib_s32 n, 37 * mlib_s32 dm, 38 * mlib_s32 dn, 39 * mlib_s32 scale, 40 * mlib_s32 cmask, 41 * mlib_edge edge) 42 * 43 * ARGUMENTS 44 * dst Pointer to destination image. 45 * src Pointer to source image. 46 * m Kernel width (m must be not less than 1). 47 * n Kernel height (n must be not less than 1). 48 * dm, dn Position of key element in convolution kernel. 49 * kernel Pointer to convolution kernel. 50 * scale The scaling factor to convert the input integer 51 * coefficients into floating-point coefficients: 52 * floating-point coefficient = integer coefficient * 2^(-scale) 53 * cmask Channel mask to indicate the channels to be convolved. 54 * Each bit of which represents a channel in the image. The 55 * channels corresponded to 1 bits are those to be processed. 56 * edge Type of edge condition. 57 * 58 * DESCRIPTION 59 * 2-D convolution, MxN kernel. 60 * 61 * The center of the source image is mapped to the center of the 62 * destination image. 63 * The unselected channels are not overwritten. If both src and dst have 64 * just one channel, cmask is ignored. 65 * 66 * The edge condition can be one of the following: 67 * MLIB_EDGE_DST_NO_WRITE (default) 68 * MLIB_EDGE_DST_FILL_ZERO 69 * MLIB_EDGE_DST_COPY_SRC 70 * MLIB_EDGE_SRC_EXTEND 71 * 72 * RESTRICTION 73 * The src and the dst must be the same type and have same number 74 * of channels (1, 2, 3, or 4). 75 * m >= 1, n >= 1, 76 * 0 <= dm < m, 0 <= dn < n. 77 * For data type MLIB_BYTE: 16 <= scale <= 31 (to be compatible with VIS version) 78 * For data type MLIB_USHORT: 17 <= scale <= 32 (to be compatible with VIS version) 79 * For data type MLIB_SHORT: 17 <= scale <= 32 (to be compatible with VIS version) 80 * For data type MLIB_INT: scale >= 0 81 */ 82 83 #include "mlib_image.h" 84 #include "mlib_ImageConv.h" 85 86 /***************************************************************/ 87 static void mlib_ImageConvMxNMulAdd_S32(mlib_d64 *dst, 88 const mlib_s32 *src, 89 const mlib_d64 *dkernel, 90 mlib_s32 n, 91 mlib_s32 m, 92 mlib_s32 nch); 93 94 static void mlib_ImageConvMxNMedian_S32(mlib_s32 *dst, 95 mlib_d64 *src, 96 mlib_s32 n, 97 mlib_s32 nch); 98 99 static void mlib_ImageConvMxNS322S32_ext(mlib_s32 *dst, 100 const mlib_s32 *src, 101 mlib_s32 n, 102 mlib_s32 nch, 103 mlib_s32 dx_l, 104 mlib_s32 dx_r); 105 106 /***************************************************************/ 107 #ifdef MLIB_USE_FTOI_CLAMPING 108 109 #define CLAMP_S32(dst, src) \ 110 dst = (mlib_s32)(src) 111 112 #else 113 114 #define CLAMP_S32(dst, src) { \ 115 mlib_d64 s0 = (mlib_d64)(src); \ 116 if (s0 > (mlib_d64)MLIB_S32_MAX) s0 = (mlib_d64)MLIB_S32_MAX; \ 117 if (s0 < (mlib_d64)MLIB_S32_MIN) s0 = (mlib_d64)MLIB_S32_MIN; \ 118 dst = (mlib_s32)s0; \ 119 } 120 121 #endif /* MLIB_USE_FTOI_CLAMPING */ 122 123 /***************************************************************/ 124 void mlib_ImageConvMxNMulAdd_S32(mlib_d64 *dst, 125 const mlib_s32 *src, 126 const mlib_d64 *dkernel, 127 mlib_s32 n, 128 mlib_s32 m, 129 mlib_s32 nch) 130 { 131 mlib_d64 *dst1 = dst + 1; 132 mlib_s32 i, j; 133 134 for (j = 0; j < m; j += 3, src += 3 * nch, dkernel += 3) { 135 const mlib_s32 *src2 = src + 2 * nch; 136 mlib_d64 hval0 = dkernel[0]; 137 mlib_d64 hval1 = dkernel[1]; 138 mlib_d64 hval2 = dkernel[2]; 139 mlib_d64 val0 = src[0]; 140 mlib_d64 val1 = src[nch]; 141 mlib_d64 dval = dst[0]; 142 143 if (j == m - 2) { 144 hval2 = 0.f; 145 } 146 else if (j == m - 1) { 147 hval1 = 0.f; 148 hval2 = 0.f; 149 } 150 151 #ifdef __SUNPRO_C 152 #pragma pipeloop(0) 153 #endif /* __SUNPRO_C */ 154 for (i = 0; i < n; i++) { 155 mlib_d64 dval0 = val0 * hval0 + dval; 156 mlib_d64 val2 = src2[i * nch]; 157 158 dval = dst1[i]; 159 dval0 += val1 * hval1; 160 dval0 += val2 * hval2; 161 val0 = val1; 162 val1 = val2; 163 164 dst[i] = dval0; 165 } 166 } 167 } 168 169 /***************************************************************/ 170 void mlib_ImageConvMxNMedian_S32(mlib_s32 *dst, 171 mlib_d64 *src, 172 mlib_s32 n, 173 mlib_s32 nch) 174 { 175 mlib_s32 i; 176 177 #ifdef __SUNPRO_C 178 #pragma pipeloop(0) 179 #endif /* __SUNPRO_C */ 180 for (i = 0; i < n; i++) { 181 mlib_s32 res; 182 183 CLAMP_S32(res, src[i]); 184 src[i] = 0.5; 185 dst[i * nch] = res; 186 } 187 } 188 189 /***************************************************************/ 190 void mlib_ImageConvMxNS322S32_ext(mlib_s32 *dst, 191 const mlib_s32 *src, 192 mlib_s32 n, 193 mlib_s32 nch, 194 mlib_s32 dx_l, 195 mlib_s32 dx_r) 196 { 197 mlib_s32 i; 198 mlib_d64 val = src[0]; 199 200 for (i = 0; i < dx_l; i++) 201 dst[i] = (mlib_s32) val; 202 #ifdef __SUNPRO_C 203 #pragma pipeloop(0) 204 #endif /* __SUNPRO_C */ 205 for (; i < n - dx_r; i++) 206 dst[i] = src[nch * (i - dx_l)]; 207 val = dst[n - dx_r - 1]; 208 for (; i < n; i++) 209 dst[i] = (mlib_s32) val; 210 } 211 212 /***************************************************************/ 213 mlib_status mlib_convMxNext_s32(mlib_image *dst, 214 const mlib_image *src, 215 const mlib_s32 *kernel, 216 mlib_s32 m, 217 mlib_s32 n, 218 mlib_s32 dx_l, 219 mlib_s32 dx_r, 220 mlib_s32 dy_t, 221 mlib_s32 dy_b, 222 mlib_s32 scale, 223 mlib_s32 cmask) 224 { 225 mlib_d64 dspace[1024], *dsa = dspace; 226 mlib_d64 akernel[256], *dkernel = akernel, fscale = 1.0; 227 mlib_s32 wid_e = mlib_ImageGetWidth(src); 228 mlib_d64 *dsh, *dsv; 229 mlib_s32 *isa; 230 mlib_s32 *da = mlib_ImageGetData(dst); 231 mlib_s32 *sa = mlib_ImageGetData(src); 232 mlib_s32 dlb = mlib_ImageGetStride(dst) >> 2; 233 mlib_s32 slb = mlib_ImageGetStride(src) >> 2; 234 mlib_s32 dw = mlib_ImageGetWidth(dst); 235 mlib_s32 dh = mlib_ImageGetHeight(dst); 236 mlib_s32 nch = mlib_ImageGetChannels(dst); 237 mlib_s32 i, j, j1, k, mn; 238 239 /* internal buffer */ 240 241 if (3 * wid_e + m > 1024) { 242 dsa = mlib_malloc((3 * wid_e + m) * sizeof(mlib_d64)); 243 244 if (dsa == NULL) 245 return MLIB_FAILURE; 246 } 247 248 isa = (mlib_s32 *) dsa; 249 250 /* load kernel */ 251 mn = m * n; 252 253 if (mn > 256) { 254 dkernel = mlib_malloc(mn * sizeof(mlib_d64)); 255 256 if (dkernel == NULL) { 257 if (dsa != dspace) mlib_free(dsa); 258 return MLIB_FAILURE; 259 } 260 } 261 262 while (scale > 30) { 263 fscale /= (1 << 30); 264 scale -= 30; 265 } 266 267 fscale /= (1 << scale); 268 269 for (i = 0; i < mn; i++) { 270 dkernel[i] = ((mlib_s32 *) kernel)[i] * fscale; 271 } 272 273 dsh = dsa + dw + m; 274 dsv = dsh + dw; 275 276 for (i = 0; i < dw; i++) { 277 dsh[i] = 0.5; 278 dsv[i] = 0.5; 279 } 280 281 for (j = 0; j < dh; j++, da += dlb) { 282 for (k = 0; k < nch; k++) 283 if (cmask & (1 << (nch - 1 - k))) { 284 mlib_s32 *sa1 = sa + k; 285 mlib_d64 *dkernel1 = dkernel; 286 287 for (j1 = 0; j1 < n; j1++, dkernel1 += m) { 288 mlib_ImageConvMxNS322S32_ext(isa, sa1, dw + m - 1, nch, dx_l, dx_r); 289 mlib_ImageConvMxNMulAdd_S32(dsh, isa, dkernel1, dw, m, 1); 290 291 if ((j + j1 >= dy_t) && (j + j1 < dh + n - dy_b - 2)) 292 sa1 += slb; 293 } 294 295 mlib_ImageConvMxNMedian_S32(da + k, dsh, dw, nch); 296 } 297 298 if ((j >= dy_t) && (j < dh + n - dy_b - 2)) 299 sa += slb; 300 } 301 302 if (dkernel != akernel) 303 mlib_free(dkernel); 304 if (dsa != dspace) 305 mlib_free(dsa); 306 return MLIB_SUCCESS; 307 } 308 309 /***************************************************************/