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00001 /* 00002 * jidctflt.c 00003 * 00004 * Copyright (C) 1994-1998, Thomas G. Lane. 00005 * Modified 2010 by Guido Vollbeding. 00006 * This file is part of the Independent JPEG Group's software. 00007 * For conditions of distribution and use, see the accompanying README file. 00008 * 00009 * This file contains a floating-point implementation of the 00010 * inverse DCT (Discrete Cosine Transform). In the IJG code, this routine 00011 * must also perform dequantization of the input coefficients. 00012 * 00013 * This implementation should be more accurate than either of the integer 00014 * IDCT implementations. However, it may not give the same results on all 00015 * machines because of differences in roundoff behavior. Speed will depend 00016 * on the hardware's floating point capacity. 00017 * 00018 * A 2-D IDCT can be done by 1-D IDCT on each column followed by 1-D IDCT 00019 * on each row (or vice versa, but it's more convenient to emit a row at 00020 * a time). Direct algorithms are also available, but they are much more 00021 * complex and seem not to be any faster when reduced to code. 00022 * 00023 * This implementation is based on Arai, Agui, and Nakajima's algorithm for 00024 * scaled DCT. Their original paper (Trans. IEICE E-71(11):1095) is in 00025 * Japanese, but the algorithm is described in the Pennebaker & Mitchell 00026 * JPEG textbook (see REFERENCES section in file README). The following code 00027 * is based directly on figure 4-8 in P&M. 00028 * While an 8-point DCT cannot be done in less than 11 multiplies, it is 00029 * possible to arrange the computation so that many of the multiplies are 00030 * simple scalings of the final outputs. These multiplies can then be 00031 * folded into the multiplications or divisions by the JPEG quantization 00032 * table entries. The AA&N method leaves only 5 multiplies and 29 adds 00033 * to be done in the DCT itself. 00034 * The primary disadvantage of this method is that with a fixed-point 00035 * implementation, accuracy is lost due to imprecise representation of the 00036 * scaled quantization values. However, that problem does not arise if 00037 * we use floating point arithmetic. 00038 */ 00039 00040 #define JPEG_INTERNALS 00041 #include "jinclude.h" 00042 #include "jpeglib.h" 00043 #include "jdct.h" /* Private declarations for DCT subsystem */ 00044 00045 #ifdef DCT_FLOAT_SUPPORTED 00046 00047 00048 /* 00049 * This module is specialized to the case DCTSIZE = 8. 00050 */ 00051 00052 #if DCTSIZE != 8 00053 Sorry, this code only copes with 8x8 DCTs. /* deliberate syntax err */ 00054 #endif 00055 00056 00057 /* Dequantize a coefficient by multiplying it by the multiplier-table 00058 * entry; produce a float result. 00059 */ 00060 00061 #define DEQUANTIZE(coef,quantval) (((FAST_FLOAT) (coef)) * (quantval)) 00062 00063 00064 /* 00065 * Perform dequantization and inverse DCT on one block of coefficients. 00066 */ 00067 00068 GLOBAL(void) 00069 jpeg_idct_float (j_decompress_ptr cinfo, jpeg_component_info * compptr, 00070 JCOEFPTR coef_block, 00071 JSAMPARRAY output_buf, JDIMENSION output_col) 00072 { 00073 FAST_FLOAT tmp0, tmp1, tmp2, tmp3, tmp4, tmp5, tmp6, tmp7; 00074 FAST_FLOAT tmp10, tmp11, tmp12, tmp13; 00075 FAST_FLOAT z5, z10, z11, z12, z13; 00076 JCOEFPTR inptr; 00077 FLOAT_MULT_TYPE * quantptr; 00078 FAST_FLOAT * wsptr; 00079 JSAMPROW outptr; 00080 JSAMPLE *range_limit = cinfo->sample_range_limit; 00081 int ctr; 00082 FAST_FLOAT workspace[DCTSIZE2]; /* buffers data between passes */ 00083 00084 /* Pass 1: process columns from input, store into work array. */ 00085 00086 inptr = coef_block; 00087 quantptr = (FLOAT_MULT_TYPE *) compptr->dct_table; 00088 wsptr = workspace; 00089 for (ctr = DCTSIZE; ctr > 0; ctr--) { 00090 /* Due to quantization, we will usually find that many of the input 00091 * coefficients are zero, especially the AC terms. We can exploit this 00092 * by short-circuiting the IDCT calculation for any column in which all 00093 * the AC terms are zero. In that case each output is equal to the 00094 * DC coefficient (with scale factor as needed). 00095 * With typical images and quantization tables, half or more of the 00096 * column DCT calculations can be simplified this way. 00097 */ 00098 00099 if (inptr[DCTSIZE*1] == 0 && inptr[DCTSIZE*2] == 0 && 00100 inptr[DCTSIZE*3] == 0 && inptr[DCTSIZE*4] == 0 && 00101 inptr[DCTSIZE*5] == 0 && inptr[DCTSIZE*6] == 0 && 00102 inptr[DCTSIZE*7] == 0) { 00103 /* AC terms all zero */ 00104 FAST_FLOAT dcval = DEQUANTIZE(inptr[DCTSIZE*0], quantptr[DCTSIZE*0]); 00105 00106 wsptr[DCTSIZE*0] = dcval; 00107 wsptr[DCTSIZE*1] = dcval; 00108 wsptr[DCTSIZE*2] = dcval; 00109 wsptr[DCTSIZE*3] = dcval; 00110 wsptr[DCTSIZE*4] = dcval; 00111 wsptr[DCTSIZE*5] = dcval; 00112 wsptr[DCTSIZE*6] = dcval; 00113 wsptr[DCTSIZE*7] = dcval; 00114 00115 inptr++; /* advance pointers to next column */ 00116 quantptr++; 00117 wsptr++; 00118 continue; 00119 } 00120 00121 /* Even part */ 00122 00123 tmp0 = DEQUANTIZE(inptr[DCTSIZE*0], quantptr[DCTSIZE*0]); 00124 tmp1 = DEQUANTIZE(inptr[DCTSIZE*2], quantptr[DCTSIZE*2]); 00125 tmp2 = DEQUANTIZE(inptr[DCTSIZE*4], quantptr[DCTSIZE*4]); 00126 tmp3 = DEQUANTIZE(inptr[DCTSIZE*6], quantptr[DCTSIZE*6]); 00127 00128 tmp10 = tmp0 + tmp2; /* phase 3 */ 00129 tmp11 = tmp0 - tmp2; 00130 00131 tmp13 = tmp1 + tmp3; /* phases 5-3 */ 00132 tmp12 = (tmp1 - tmp3) * ((FAST_FLOAT) 1.414213562) - tmp13; /* 2*c4 */ 00133 00134 tmp0 = tmp10 + tmp13; /* phase 2 */ 00135 tmp3 = tmp10 - tmp13; 00136 tmp1 = tmp11 + tmp12; 00137 tmp2 = tmp11 - tmp12; 00138 00139 /* Odd part */ 00140 00141 tmp4 = DEQUANTIZE(inptr[DCTSIZE*1], quantptr[DCTSIZE*1]); 00142 tmp5 = DEQUANTIZE(inptr[DCTSIZE*3], quantptr[DCTSIZE*3]); 00143 tmp6 = DEQUANTIZE(inptr[DCTSIZE*5], quantptr[DCTSIZE*5]); 00144 tmp7 = DEQUANTIZE(inptr[DCTSIZE*7], quantptr[DCTSIZE*7]); 00145 00146 z13 = tmp6 + tmp5; /* phase 6 */ 00147 z10 = tmp6 - tmp5; 00148 z11 = tmp4 + tmp7; 00149 z12 = tmp4 - tmp7; 00150 00151 tmp7 = z11 + z13; /* phase 5 */ 00152 tmp11 = (z11 - z13) * ((FAST_FLOAT) 1.414213562); /* 2*c4 */ 00153 00154 z5 = (z10 + z12) * ((FAST_FLOAT) 1.847759065); /* 2*c2 */ 00155 tmp10 = z5 - z12 * ((FAST_FLOAT) 1.082392200); /* 2*(c2-c6) */ 00156 tmp12 = z5 - z10 * ((FAST_FLOAT) 2.613125930); /* 2*(c2+c6) */ 00157 00158 tmp6 = tmp12 - tmp7; /* phase 2 */ 00159 tmp5 = tmp11 - tmp6; 00160 tmp4 = tmp10 - tmp5; 00161 00162 wsptr[DCTSIZE*0] = tmp0 + tmp7; 00163 wsptr[DCTSIZE*7] = tmp0 - tmp7; 00164 wsptr[DCTSIZE*1] = tmp1 + tmp6; 00165 wsptr[DCTSIZE*6] = tmp1 - tmp6; 00166 wsptr[DCTSIZE*2] = tmp2 + tmp5; 00167 wsptr[DCTSIZE*5] = tmp2 - tmp5; 00168 wsptr[DCTSIZE*3] = tmp3 + tmp4; 00169 wsptr[DCTSIZE*4] = tmp3 - tmp4; 00170 00171 inptr++; /* advance pointers to next column */ 00172 quantptr++; 00173 wsptr++; 00174 } 00175 00176 /* Pass 2: process rows from work array, store into output array. */ 00177 00178 wsptr = workspace; 00179 for (ctr = 0; ctr < DCTSIZE; ctr++) { 00180 outptr = output_buf[ctr] + output_col; 00181 /* Rows of zeroes can be exploited in the same way as we did with columns. 00182 * However, the column calculation has created many nonzero AC terms, so 00183 * the simplification applies less often (typically 5% to 10% of the time). 00184 * And testing floats for zero is relatively expensive, so we don't bother. 00185 */ 00186 00187 /* Even part */ 00188 00189 /* Apply signed->unsigned and prepare float->int conversion */ 00190 z5 = wsptr[0] + ((FAST_FLOAT) CENTERJSAMPLE + (FAST_FLOAT) 0.5); 00191 tmp10 = z5 + wsptr[4]; 00192 tmp11 = z5 - wsptr[4]; 00193 00194 tmp13 = wsptr[2] + wsptr[6]; 00195 tmp12 = (wsptr[2] - wsptr[6]) * ((FAST_FLOAT) 1.414213562) - tmp13; 00196 00197 tmp0 = tmp10 + tmp13; 00198 tmp3 = tmp10 - tmp13; 00199 tmp1 = tmp11 + tmp12; 00200 tmp2 = tmp11 - tmp12; 00201 00202 /* Odd part */ 00203 00204 z13 = wsptr[5] + wsptr[3]; 00205 z10 = wsptr[5] - wsptr[3]; 00206 z11 = wsptr[1] + wsptr[7]; 00207 z12 = wsptr[1] - wsptr[7]; 00208 00209 tmp7 = z11 + z13; 00210 tmp11 = (z11 - z13) * ((FAST_FLOAT) 1.414213562); 00211 00212 z5 = (z10 + z12) * ((FAST_FLOAT) 1.847759065); /* 2*c2 */ 00213 tmp10 = z5 - z12 * ((FAST_FLOAT) 1.082392200); /* 2*(c2-c6) */ 00214 tmp12 = z5 - z10 * ((FAST_FLOAT) 2.613125930); /* 2*(c2+c6) */ 00215 00216 tmp6 = tmp12 - tmp7; 00217 tmp5 = tmp11 - tmp6; 00218 tmp4 = tmp10 - tmp5; 00219 00220 /* Final output stage: float->int conversion and range-limit */ 00221 00222 outptr[0] = range_limit[((int) (tmp0 + tmp7)) & RANGE_MASK]; 00223 outptr[7] = range_limit[((int) (tmp0 - tmp7)) & RANGE_MASK]; 00224 outptr[1] = range_limit[((int) (tmp1 + tmp6)) & RANGE_MASK]; 00225 outptr[6] = range_limit[((int) (tmp1 - tmp6)) & RANGE_MASK]; 00226 outptr[2] = range_limit[((int) (tmp2 + tmp5)) & RANGE_MASK]; 00227 outptr[5] = range_limit[((int) (tmp2 - tmp5)) & RANGE_MASK]; 00228 outptr[3] = range_limit[((int) (tmp3 + tmp4)) & RANGE_MASK]; 00229 outptr[4] = range_limit[((int) (tmp3 - tmp4)) & RANGE_MASK]; 00230 00231 wsptr += DCTSIZE; /* advance pointer to next row */ 00232 } 00233 } 00234 00235 #endif /* DCT_FLOAT_SUPPORTED */ Generated on Sun May 27 2012 04:19:26 for ReactOS by
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