Dees_Troy | 51a0e82 | 2012-09-05 15:24:24 -0400 | [diff] [blame^] | 1 | /* |
| 2 | * jidctflt.c |
| 3 | * |
| 4 | * Copyright (C) 1994-1998, Thomas G. Lane. |
| 5 | * This file is part of the Independent JPEG Group's software. |
| 6 | * For conditions of distribution and use, see the accompanying README file. |
| 7 | * |
| 8 | * This file contains a floating-point implementation of the |
| 9 | * inverse DCT (Discrete Cosine Transform). In the IJG code, this routine |
| 10 | * must also perform dequantization of the input coefficients. |
| 11 | * |
| 12 | * This implementation should be more accurate than either of the integer |
| 13 | * IDCT implementations. However, it may not give the same results on all |
| 14 | * machines because of differences in roundoff behavior. Speed will depend |
| 15 | * on the hardware's floating point capacity. |
| 16 | * |
| 17 | * A 2-D IDCT can be done by 1-D IDCT on each column followed by 1-D IDCT |
| 18 | * on each row (or vice versa, but it's more convenient to emit a row at |
| 19 | * a time). Direct algorithms are also available, but they are much more |
| 20 | * complex and seem not to be any faster when reduced to code. |
| 21 | * |
| 22 | * This implementation is based on Arai, Agui, and Nakajima's algorithm for |
| 23 | * scaled DCT. Their original paper (Trans. IEICE E-71(11):1095) is in |
| 24 | * Japanese, but the algorithm is described in the Pennebaker & Mitchell |
| 25 | * JPEG textbook (see REFERENCES section in file README). The following code |
| 26 | * is based directly on figure 4-8 in P&M. |
| 27 | * While an 8-point DCT cannot be done in less than 11 multiplies, it is |
| 28 | * possible to arrange the computation so that many of the multiplies are |
| 29 | * simple scalings of the final outputs. These multiplies can then be |
| 30 | * folded into the multiplications or divisions by the JPEG quantization |
| 31 | * table entries. The AA&N method leaves only 5 multiplies and 29 adds |
| 32 | * to be done in the DCT itself. |
| 33 | * The primary disadvantage of this method is that with a fixed-point |
| 34 | * implementation, accuracy is lost due to imprecise representation of the |
| 35 | * scaled quantization values. However, that problem does not arise if |
| 36 | * we use floating point arithmetic. |
| 37 | */ |
| 38 | |
| 39 | #define JPEG_INTERNALS |
| 40 | #include "jinclude.h" |
| 41 | #include "jpeglib.h" |
| 42 | #include "jdct.h" /* Private declarations for DCT subsystem */ |
| 43 | |
| 44 | #ifdef DCT_FLOAT_SUPPORTED |
| 45 | |
| 46 | |
| 47 | /* |
| 48 | * This module is specialized to the case DCTSIZE = 8. |
| 49 | */ |
| 50 | |
| 51 | #if DCTSIZE != 8 |
| 52 | Sorry, this code only copes with 8x8 DCTs. /* deliberate syntax err */ |
| 53 | #endif |
| 54 | |
| 55 | |
| 56 | /* Dequantize a coefficient by multiplying it by the multiplier-table |
| 57 | * entry; produce a float result. |
| 58 | */ |
| 59 | |
| 60 | #define DEQUANTIZE(coef,quantval) (((FAST_FLOAT) (coef)) * (quantval)) |
| 61 | |
| 62 | |
| 63 | /* |
| 64 | * Perform dequantization and inverse DCT on one block of coefficients. |
| 65 | */ |
| 66 | |
| 67 | GLOBAL(void) |
| 68 | jpeg_idct_float (j_decompress_ptr cinfo, jpeg_component_info * compptr, |
| 69 | JCOEFPTR coef_block, |
| 70 | JSAMPARRAY output_buf, JDIMENSION output_col) |
| 71 | { |
| 72 | FAST_FLOAT tmp0, tmp1, tmp2, tmp3, tmp4, tmp5, tmp6, tmp7; |
| 73 | FAST_FLOAT tmp10, tmp11, tmp12, tmp13; |
| 74 | FAST_FLOAT z5, z10, z11, z12, z13; |
| 75 | JCOEFPTR inptr; |
| 76 | FLOAT_MULT_TYPE * quantptr; |
| 77 | FAST_FLOAT * wsptr; |
| 78 | JSAMPROW outptr; |
| 79 | JSAMPLE *range_limit = IDCT_range_limit(cinfo); |
| 80 | int ctr; |
| 81 | FAST_FLOAT workspace[DCTSIZE2]; /* buffers data between passes */ |
| 82 | SHIFT_TEMPS |
| 83 | |
| 84 | /* Pass 1: process columns from input, store into work array. */ |
| 85 | |
| 86 | inptr = coef_block; |
| 87 | quantptr = (FLOAT_MULT_TYPE *) compptr->dct_table; |
| 88 | wsptr = workspace; |
| 89 | for (ctr = DCTSIZE; ctr > 0; ctr--) { |
| 90 | /* Due to quantization, we will usually find that many of the input |
| 91 | * coefficients are zero, especially the AC terms. We can exploit this |
| 92 | * by short-circuiting the IDCT calculation for any column in which all |
| 93 | * the AC terms are zero. In that case each output is equal to the |
| 94 | * DC coefficient (with scale factor as needed). |
| 95 | * With typical images and quantization tables, half or more of the |
| 96 | * column DCT calculations can be simplified this way. |
| 97 | */ |
| 98 | |
| 99 | if (inptr[DCTSIZE*1] == 0 && inptr[DCTSIZE*2] == 0 && |
| 100 | inptr[DCTSIZE*3] == 0 && inptr[DCTSIZE*4] == 0 && |
| 101 | inptr[DCTSIZE*5] == 0 && inptr[DCTSIZE*6] == 0 && |
| 102 | inptr[DCTSIZE*7] == 0) { |
| 103 | /* AC terms all zero */ |
| 104 | FAST_FLOAT dcval = DEQUANTIZE(inptr[DCTSIZE*0], quantptr[DCTSIZE*0]); |
| 105 | |
| 106 | wsptr[DCTSIZE*0] = dcval; |
| 107 | wsptr[DCTSIZE*1] = dcval; |
| 108 | wsptr[DCTSIZE*2] = dcval; |
| 109 | wsptr[DCTSIZE*3] = dcval; |
| 110 | wsptr[DCTSIZE*4] = dcval; |
| 111 | wsptr[DCTSIZE*5] = dcval; |
| 112 | wsptr[DCTSIZE*6] = dcval; |
| 113 | wsptr[DCTSIZE*7] = dcval; |
| 114 | |
| 115 | inptr++; /* advance pointers to next column */ |
| 116 | quantptr++; |
| 117 | wsptr++; |
| 118 | continue; |
| 119 | } |
| 120 | |
| 121 | /* Even part */ |
| 122 | |
| 123 | tmp0 = DEQUANTIZE(inptr[DCTSIZE*0], quantptr[DCTSIZE*0]); |
| 124 | tmp1 = DEQUANTIZE(inptr[DCTSIZE*2], quantptr[DCTSIZE*2]); |
| 125 | tmp2 = DEQUANTIZE(inptr[DCTSIZE*4], quantptr[DCTSIZE*4]); |
| 126 | tmp3 = DEQUANTIZE(inptr[DCTSIZE*6], quantptr[DCTSIZE*6]); |
| 127 | |
| 128 | tmp10 = tmp0 + tmp2; /* phase 3 */ |
| 129 | tmp11 = tmp0 - tmp2; |
| 130 | |
| 131 | tmp13 = tmp1 + tmp3; /* phases 5-3 */ |
| 132 | tmp12 = (tmp1 - tmp3) * ((FAST_FLOAT) 1.414213562) - tmp13; /* 2*c4 */ |
| 133 | |
| 134 | tmp0 = tmp10 + tmp13; /* phase 2 */ |
| 135 | tmp3 = tmp10 - tmp13; |
| 136 | tmp1 = tmp11 + tmp12; |
| 137 | tmp2 = tmp11 - tmp12; |
| 138 | |
| 139 | /* Odd part */ |
| 140 | |
| 141 | tmp4 = DEQUANTIZE(inptr[DCTSIZE*1], quantptr[DCTSIZE*1]); |
| 142 | tmp5 = DEQUANTIZE(inptr[DCTSIZE*3], quantptr[DCTSIZE*3]); |
| 143 | tmp6 = DEQUANTIZE(inptr[DCTSIZE*5], quantptr[DCTSIZE*5]); |
| 144 | tmp7 = DEQUANTIZE(inptr[DCTSIZE*7], quantptr[DCTSIZE*7]); |
| 145 | |
| 146 | z13 = tmp6 + tmp5; /* phase 6 */ |
| 147 | z10 = tmp6 - tmp5; |
| 148 | z11 = tmp4 + tmp7; |
| 149 | z12 = tmp4 - tmp7; |
| 150 | |
| 151 | tmp7 = z11 + z13; /* phase 5 */ |
| 152 | tmp11 = (z11 - z13) * ((FAST_FLOAT) 1.414213562); /* 2*c4 */ |
| 153 | |
| 154 | z5 = (z10 + z12) * ((FAST_FLOAT) 1.847759065); /* 2*c2 */ |
| 155 | tmp10 = ((FAST_FLOAT) 1.082392200) * z12 - z5; /* 2*(c2-c6) */ |
| 156 | tmp12 = ((FAST_FLOAT) -2.613125930) * z10 + z5; /* -2*(c2+c6) */ |
| 157 | |
| 158 | tmp6 = tmp12 - tmp7; /* phase 2 */ |
| 159 | tmp5 = tmp11 - tmp6; |
| 160 | tmp4 = tmp10 + tmp5; |
| 161 | |
| 162 | wsptr[DCTSIZE*0] = tmp0 + tmp7; |
| 163 | wsptr[DCTSIZE*7] = tmp0 - tmp7; |
| 164 | wsptr[DCTSIZE*1] = tmp1 + tmp6; |
| 165 | wsptr[DCTSIZE*6] = tmp1 - tmp6; |
| 166 | wsptr[DCTSIZE*2] = tmp2 + tmp5; |
| 167 | wsptr[DCTSIZE*5] = tmp2 - tmp5; |
| 168 | wsptr[DCTSIZE*4] = tmp3 + tmp4; |
| 169 | wsptr[DCTSIZE*3] = tmp3 - tmp4; |
| 170 | |
| 171 | inptr++; /* advance pointers to next column */ |
| 172 | quantptr++; |
| 173 | wsptr++; |
| 174 | } |
| 175 | |
| 176 | /* Pass 2: process rows from work array, store into output array. */ |
| 177 | /* Note that we must descale the results by a factor of 8 == 2**3. */ |
| 178 | |
| 179 | wsptr = workspace; |
| 180 | for (ctr = 0; ctr < DCTSIZE; ctr++) { |
| 181 | outptr = output_buf[ctr] + output_col; |
| 182 | /* Rows of zeroes can be exploited in the same way as we did with columns. |
| 183 | * However, the column calculation has created many nonzero AC terms, so |
| 184 | * the simplification applies less often (typically 5% to 10% of the time). |
| 185 | * And testing floats for zero is relatively expensive, so we don't bother. |
| 186 | */ |
| 187 | |
| 188 | /* Even part */ |
| 189 | |
| 190 | tmp10 = wsptr[0] + wsptr[4]; |
| 191 | tmp11 = wsptr[0] - wsptr[4]; |
| 192 | |
| 193 | tmp13 = wsptr[2] + wsptr[6]; |
| 194 | tmp12 = (wsptr[2] - wsptr[6]) * ((FAST_FLOAT) 1.414213562) - tmp13; |
| 195 | |
| 196 | tmp0 = tmp10 + tmp13; |
| 197 | tmp3 = tmp10 - tmp13; |
| 198 | tmp1 = tmp11 + tmp12; |
| 199 | tmp2 = tmp11 - tmp12; |
| 200 | |
| 201 | /* Odd part */ |
| 202 | |
| 203 | z13 = wsptr[5] + wsptr[3]; |
| 204 | z10 = wsptr[5] - wsptr[3]; |
| 205 | z11 = wsptr[1] + wsptr[7]; |
| 206 | z12 = wsptr[1] - wsptr[7]; |
| 207 | |
| 208 | tmp7 = z11 + z13; |
| 209 | tmp11 = (z11 - z13) * ((FAST_FLOAT) 1.414213562); |
| 210 | |
| 211 | z5 = (z10 + z12) * ((FAST_FLOAT) 1.847759065); /* 2*c2 */ |
| 212 | tmp10 = ((FAST_FLOAT) 1.082392200) * z12 - z5; /* 2*(c2-c6) */ |
| 213 | tmp12 = ((FAST_FLOAT) -2.613125930) * z10 + z5; /* -2*(c2+c6) */ |
| 214 | |
| 215 | tmp6 = tmp12 - tmp7; |
| 216 | tmp5 = tmp11 - tmp6; |
| 217 | tmp4 = tmp10 + tmp5; |
| 218 | |
| 219 | /* Final output stage: scale down by a factor of 8 and range-limit */ |
| 220 | |
| 221 | outptr[0] = range_limit[(int) DESCALE((INT32) (tmp0 + tmp7), 3) |
| 222 | & RANGE_MASK]; |
| 223 | outptr[7] = range_limit[(int) DESCALE((INT32) (tmp0 - tmp7), 3) |
| 224 | & RANGE_MASK]; |
| 225 | outptr[1] = range_limit[(int) DESCALE((INT32) (tmp1 + tmp6), 3) |
| 226 | & RANGE_MASK]; |
| 227 | outptr[6] = range_limit[(int) DESCALE((INT32) (tmp1 - tmp6), 3) |
| 228 | & RANGE_MASK]; |
| 229 | outptr[2] = range_limit[(int) DESCALE((INT32) (tmp2 + tmp5), 3) |
| 230 | & RANGE_MASK]; |
| 231 | outptr[5] = range_limit[(int) DESCALE((INT32) (tmp2 - tmp5), 3) |
| 232 | & RANGE_MASK]; |
| 233 | outptr[4] = range_limit[(int) DESCALE((INT32) (tmp3 + tmp4), 3) |
| 234 | & RANGE_MASK]; |
| 235 | outptr[3] = range_limit[(int) DESCALE((INT32) (tmp3 - tmp4), 3) |
| 236 | & RANGE_MASK]; |
| 237 | |
| 238 | wsptr += DCTSIZE; /* advance pointer to next row */ |
| 239 | } |
| 240 | } |
| 241 | |
| 242 | #endif /* DCT_FLOAT_SUPPORTED */ |