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fltk 1.3.0rc3
About: FLTK (Fast Light Tool Kit) is a cross-platform C++ GUI toolkit for UNIX/Linux (X11), Microsoft Windows, and MacOS X. Release candidate.
SfR Fresh Dox: fltk-1.3.0rc3-source.tar.gz ("inofficial" and yet experimental doxygen-generated source code documentation) ![]() |
00001 /* 00002 * jidctflt.c 00003 * 00004 * Copyright (C) 1994-1998, Thomas G. Lane. 00005 * This file is part of the Independent JPEG Group's software. 00006 * For conditions of distribution and use, see the accompanying README file. 00007 * 00008 * This file contains a floating-point implementation of the 00009 * inverse DCT (Discrete Cosine Transform). In the IJG code, this routine 00010 * must also perform dequantization of the input coefficients. 00011 * 00012 * This implementation should be more accurate than either of the integer 00013 * IDCT implementations. However, it may not give the same results on all 00014 * machines because of differences in roundoff behavior. Speed will depend 00015 * on the hardware's floating point capacity. 00016 * 00017 * A 2-D IDCT can be done by 1-D IDCT on each column followed by 1-D IDCT 00018 * on each row (or vice versa, but it's more convenient to emit a row at 00019 * a time). Direct algorithms are also available, but they are much more 00020 * complex and seem not to be any faster when reduced to code. 00021 * 00022 * This implementation is based on Arai, Agui, and Nakajima's algorithm for 00023 * scaled DCT. Their original paper (Trans. IEICE E-71(11):1095) is in 00024 * Japanese, but the algorithm is described in the Pennebaker & Mitchell 00025 * JPEG textbook (see REFERENCES section in file README). The following code 00026 * is based directly on figure 4-8 in P&M. 00027 * While an 8-point DCT cannot be done in less than 11 multiplies, it is 00028 * possible to arrange the computation so that many of the multiplies are 00029 * simple scalings of the final outputs. These multiplies can then be 00030 * folded into the multiplications or divisions by the JPEG quantization 00031 * table entries. The AA&N method leaves only 5 multiplies and 29 adds 00032 * to be done in the DCT itself. 00033 * The primary disadvantage of this method is that with a fixed-point 00034 * implementation, accuracy is lost due to imprecise representation of the 00035 * scaled quantization values. However, that problem does not arise if 00036 * we use floating point arithmetic. 00037 */ 00038 00039 #define JPEG_INTERNALS 00040 #include "jinclude.h" 00041 #include "jpeglib.h" 00042 #include "jdct.h" /* Private declarations for DCT subsystem */ 00043 00044 #ifdef DCT_FLOAT_SUPPORTED 00045 00046 00047 /* 00048 * This module is specialized to the case DCTSIZE = 8. 00049 */ 00050 00051 #if DCTSIZE != 8 00052 Sorry, this code only copes with 8x8 DCTs. /* deliberate syntax err */ 00053 #endif 00054 00055 00056 /* Dequantize a coefficient by multiplying it by the multiplier-table 00057 * entry; produce a float result. 00058 */ 00059 00060 #define DEQUANTIZE(coef,quantval) (((FAST_FLOAT) (coef)) * (quantval)) 00061 00062 00063 /* 00064 * Perform dequantization and inverse DCT on one block of coefficients. 00065 */ 00066 00067 GLOBAL(void) 00068 jpeg_idct_float (j_decompress_ptr cinfo, jpeg_component_info * compptr, 00069 JCOEFPTR coef_block, 00070 JSAMPARRAY output_buf, JDIMENSION output_col) 00071 { 00072 FAST_FLOAT tmp0, tmp1, tmp2, tmp3, tmp4, tmp5, tmp6, tmp7; 00073 FAST_FLOAT tmp10, tmp11, tmp12, tmp13; 00074 FAST_FLOAT z5, z10, z11, z12, z13; 00075 JCOEFPTR inptr; 00076 FLOAT_MULT_TYPE * quantptr; 00077 FAST_FLOAT * wsptr; 00078 JSAMPROW outptr; 00079 JSAMPLE *range_limit = IDCT_range_limit(cinfo); 00080 int ctr; 00081 FAST_FLOAT workspace[DCTSIZE2]; /* buffers data between passes */ 00082 SHIFT_TEMPS 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 = ((FAST_FLOAT) 1.082392200) * z12 - z5; /* 2*(c2-c6) */ 00156 tmp12 = ((FAST_FLOAT) -2.613125930) * z10 + z5; /* -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*4] = tmp3 + tmp4; 00169 wsptr[DCTSIZE*3] = 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 /* Note that we must descale the results by a factor of 8 == 2**3. */ 00178 00179 wsptr = workspace; 00180 for (ctr = 0; ctr < DCTSIZE; ctr++) { 00181 outptr = output_buf[ctr] + output_col; 00182 /* Rows of zeroes can be exploited in the same way as we did with columns. 00183 * However, the column calculation has created many nonzero AC terms, so 00184 * the simplification applies less often (typically 5% to 10% of the time). 00185 * And testing floats for zero is relatively expensive, so we don't bother. 00186 */ 00187 00188 /* Even part */ 00189 00190 tmp10 = wsptr[0] + wsptr[4]; 00191 tmp11 = wsptr[0] - wsptr[4]; 00192 00193 tmp13 = wsptr[2] + wsptr[6]; 00194 tmp12 = (wsptr[2] - wsptr[6]) * ((FAST_FLOAT) 1.414213562) - tmp13; 00195 00196 tmp0 = tmp10 + tmp13; 00197 tmp3 = tmp10 - tmp13; 00198 tmp1 = tmp11 + tmp12; 00199 tmp2 = tmp11 - tmp12; 00200 00201 /* Odd part */ 00202 00203 z13 = wsptr[5] + wsptr[3]; 00204 z10 = wsptr[5] - wsptr[3]; 00205 z11 = wsptr[1] + wsptr[7]; 00206 z12 = wsptr[1] - wsptr[7]; 00207 00208 tmp7 = z11 + z13; 00209 tmp11 = (z11 - z13) * ((FAST_FLOAT) 1.414213562); 00210 00211 z5 = (z10 + z12) * ((FAST_FLOAT) 1.847759065); /* 2*c2 */ 00212 tmp10 = ((FAST_FLOAT) 1.082392200) * z12 - z5; /* 2*(c2-c6) */ 00213 tmp12 = ((FAST_FLOAT) -2.613125930) * z10 + z5; /* -2*(c2+c6) */ 00214 00215 tmp6 = tmp12 - tmp7; 00216 tmp5 = tmp11 - tmp6; 00217 tmp4 = tmp10 + tmp5; 00218 00219 /* Final output stage: scale down by a factor of 8 and range-limit */ 00220 00221 outptr[0] = range_limit[(int) DESCALE((INT32) (tmp0 + tmp7), 3) 00222 & RANGE_MASK]; 00223 outptr[7] = range_limit[(int) DESCALE((INT32) (tmp0 - tmp7), 3) 00224 & RANGE_MASK]; 00225 outptr[1] = range_limit[(int) DESCALE((INT32) (tmp1 + tmp6), 3) 00226 & RANGE_MASK]; 00227 outptr[6] = range_limit[(int) DESCALE((INT32) (tmp1 - tmp6), 3) 00228 & RANGE_MASK]; 00229 outptr[2] = range_limit[(int) DESCALE((INT32) (tmp2 + tmp5), 3) 00230 & RANGE_MASK]; 00231 outptr[5] = range_limit[(int) DESCALE((INT32) (tmp2 - tmp5), 3) 00232 & RANGE_MASK]; 00233 outptr[4] = range_limit[(int) DESCALE((INT32) (tmp3 + tmp4), 3) 00234 & RANGE_MASK]; 00235 outptr[3] = range_limit[(int) DESCALE((INT32) (tmp3 - tmp4), 3) 00236 & RANGE_MASK]; 00237 00238 wsptr += DCTSIZE; /* advance pointer to next row */ 00239 } 00240 } 00241 00242 #endif /* DCT_FLOAT_SUPPORTED */