jidctflt.c 8.2 KB

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  1. /*
  2. * jidctflt.c
  3. *
  4. * Copyright (C) 1994-1998, Thomas G. Lane.
  5. * Modified 2010-2017 by Guido Vollbeding.
  6. * This file is part of the Independent JPEG Group's software.
  7. * For conditions of distribution and use, see the accompanying README file.
  8. *
  9. * This file contains a floating-point implementation of the
  10. * inverse DCT (Discrete Cosine Transform). In the IJG code, this routine
  11. * must also perform dequantization of the input coefficients.
  12. *
  13. * This implementation should be more accurate than either of the integer
  14. * IDCT implementations. However, it may not give the same results on all
  15. * machines because of differences in roundoff behavior. Speed will depend
  16. * on the hardware's floating point capacity.
  17. *
  18. * A 2-D IDCT can be done by 1-D IDCT on each column followed by 1-D IDCT
  19. * on each row (or vice versa, but it's more convenient to emit a row at
  20. * a time). Direct algorithms are also available, but they are much more
  21. * complex and seem not to be any faster when reduced to code.
  22. *
  23. * This implementation is based on Arai, Agui, and Nakajima's algorithm for
  24. * scaled DCT. Their original paper (Trans. IEICE E-71(11):1095) is in
  25. * Japanese, but the algorithm is described in the Pennebaker & Mitchell
  26. * JPEG textbook (see REFERENCES section in file README). The following code
  27. * is based directly on figure 4-8 in P&M.
  28. * While an 8-point DCT cannot be done in less than 11 multiplies, it is
  29. * possible to arrange the computation so that many of the multiplies are
  30. * simple scalings of the final outputs. These multiplies can then be
  31. * folded into the multiplications or divisions by the JPEG quantization
  32. * table entries. The AA&N method leaves only 5 multiplies and 29 adds
  33. * to be done in the DCT itself.
  34. * The primary disadvantage of this method is that with a fixed-point
  35. * implementation, accuracy is lost due to imprecise representation of the
  36. * scaled quantization values. However, that problem does not arise if
  37. * we use floating point arithmetic.
  38. */
  39. #define JPEG_INTERNALS
  40. #include "jinclude.h"
  41. #include "jpeglib.h"
  42. #include "jdct.h" /* Private declarations for DCT subsystem */
  43. #ifdef DCT_FLOAT_SUPPORTED
  44. /*
  45. * This module is specialized to the case DCTSIZE = 8.
  46. */
  47. #if DCTSIZE != 8
  48. Sorry, this code only copes with 8x8 DCT blocks. /* deliberate syntax err */
  49. #endif
  50. /* Dequantize a coefficient by multiplying it by the multiplier-table
  51. * entry; produce a float result.
  52. */
  53. #define DEQUANTIZE(coef,quantval) (((FAST_FLOAT) (coef)) * (quantval))
  54. /*
  55. * Perform dequantization and inverse DCT on one block of coefficients.
  56. *
  57. * cK represents cos(K*pi/16).
  58. */
  59. GLOBAL(void)
  60. jpeg_idct_float (j_decompress_ptr cinfo, jpeg_component_info * compptr,
  61. JCOEFPTR coef_block,
  62. JSAMPARRAY output_buf, JDIMENSION output_col)
  63. {
  64. FAST_FLOAT tmp0, tmp1, tmp2, tmp3, tmp4, tmp5, tmp6, tmp7;
  65. FAST_FLOAT tmp10, tmp11, tmp12, tmp13;
  66. FAST_FLOAT z5, z10, z11, z12, z13;
  67. JCOEFPTR inptr;
  68. FLOAT_MULT_TYPE * quantptr;
  69. FAST_FLOAT * wsptr;
  70. JSAMPROW outptr;
  71. JSAMPLE *range_limit = IDCT_range_limit(cinfo);
  72. int ctr;
  73. FAST_FLOAT workspace[DCTSIZE2]; /* buffers data between passes */
  74. /* Pass 1: process columns from input, store into work array. */
  75. inptr = coef_block;
  76. quantptr = (FLOAT_MULT_TYPE *) compptr->dct_table;
  77. wsptr = workspace;
  78. for (ctr = DCTSIZE; ctr > 0; ctr--) {
  79. /* Due to quantization, we will usually find that many of the input
  80. * coefficients are zero, especially the AC terms. We can exploit this
  81. * by short-circuiting the IDCT calculation for any column in which all
  82. * the AC terms are zero. In that case each output is equal to the
  83. * DC coefficient (with scale factor as needed).
  84. * With typical images and quantization tables, half or more of the
  85. * column DCT calculations can be simplified this way.
  86. */
  87. if (inptr[DCTSIZE*1] == 0 && inptr[DCTSIZE*2] == 0 &&
  88. inptr[DCTSIZE*3] == 0 && inptr[DCTSIZE*4] == 0 &&
  89. inptr[DCTSIZE*5] == 0 && inptr[DCTSIZE*6] == 0 &&
  90. inptr[DCTSIZE*7] == 0) {
  91. /* AC terms all zero */
  92. FAST_FLOAT dcval = DEQUANTIZE(inptr[DCTSIZE*0], quantptr[DCTSIZE*0]);
  93. wsptr[DCTSIZE*0] = dcval;
  94. wsptr[DCTSIZE*1] = dcval;
  95. wsptr[DCTSIZE*2] = dcval;
  96. wsptr[DCTSIZE*3] = dcval;
  97. wsptr[DCTSIZE*4] = dcval;
  98. wsptr[DCTSIZE*5] = dcval;
  99. wsptr[DCTSIZE*6] = dcval;
  100. wsptr[DCTSIZE*7] = dcval;
  101. inptr++; /* advance pointers to next column */
  102. quantptr++;
  103. wsptr++;
  104. continue;
  105. }
  106. /* Even part */
  107. tmp0 = DEQUANTIZE(inptr[DCTSIZE*0], quantptr[DCTSIZE*0]);
  108. tmp1 = DEQUANTIZE(inptr[DCTSIZE*2], quantptr[DCTSIZE*2]);
  109. tmp2 = DEQUANTIZE(inptr[DCTSIZE*4], quantptr[DCTSIZE*4]);
  110. tmp3 = DEQUANTIZE(inptr[DCTSIZE*6], quantptr[DCTSIZE*6]);
  111. tmp10 = tmp0 + tmp2; /* phase 3 */
  112. tmp11 = tmp0 - tmp2;
  113. tmp13 = tmp1 + tmp3; /* phases 5-3 */
  114. tmp12 = (tmp1 - tmp3) * ((FAST_FLOAT) 1.414213562) - tmp13; /* 2*c4 */
  115. tmp0 = tmp10 + tmp13; /* phase 2 */
  116. tmp3 = tmp10 - tmp13;
  117. tmp1 = tmp11 + tmp12;
  118. tmp2 = tmp11 - tmp12;
  119. /* Odd part */
  120. tmp4 = DEQUANTIZE(inptr[DCTSIZE*1], quantptr[DCTSIZE*1]);
  121. tmp5 = DEQUANTIZE(inptr[DCTSIZE*3], quantptr[DCTSIZE*3]);
  122. tmp6 = DEQUANTIZE(inptr[DCTSIZE*5], quantptr[DCTSIZE*5]);
  123. tmp7 = DEQUANTIZE(inptr[DCTSIZE*7], quantptr[DCTSIZE*7]);
  124. z13 = tmp6 + tmp5; /* phase 6 */
  125. z10 = tmp6 - tmp5;
  126. z11 = tmp4 + tmp7;
  127. z12 = tmp4 - tmp7;
  128. tmp7 = z11 + z13; /* phase 5 */
  129. tmp11 = (z11 - z13) * ((FAST_FLOAT) 1.414213562); /* 2*c4 */
  130. z5 = (z10 + z12) * ((FAST_FLOAT) 1.847759065); /* 2*c2 */
  131. tmp10 = z5 - z12 * ((FAST_FLOAT) 1.082392200); /* 2*(c2-c6) */
  132. tmp12 = z5 - z10 * ((FAST_FLOAT) 2.613125930); /* 2*(c2+c6) */
  133. tmp6 = tmp12 - tmp7; /* phase 2 */
  134. tmp5 = tmp11 - tmp6;
  135. tmp4 = tmp10 - tmp5;
  136. wsptr[DCTSIZE*0] = tmp0 + tmp7;
  137. wsptr[DCTSIZE*7] = tmp0 - tmp7;
  138. wsptr[DCTSIZE*1] = tmp1 + tmp6;
  139. wsptr[DCTSIZE*6] = tmp1 - tmp6;
  140. wsptr[DCTSIZE*2] = tmp2 + tmp5;
  141. wsptr[DCTSIZE*5] = tmp2 - tmp5;
  142. wsptr[DCTSIZE*3] = tmp3 + tmp4;
  143. wsptr[DCTSIZE*4] = tmp3 - tmp4;
  144. inptr++; /* advance pointers to next column */
  145. quantptr++;
  146. wsptr++;
  147. }
  148. /* Pass 2: process rows from work array, store into output array. */
  149. wsptr = workspace;
  150. for (ctr = 0; ctr < DCTSIZE; ctr++) {
  151. outptr = output_buf[ctr] + output_col;
  152. /* Rows of zeroes can be exploited in the same way as we did with columns.
  153. * However, the column calculation has created many nonzero AC terms, so
  154. * the simplification applies less often (typically 5% to 10% of the time).
  155. * And testing floats for zero is relatively expensive, so we don't bother.
  156. */
  157. /* Even part */
  158. /* Prepare range-limit and float->int conversion */
  159. z5 = wsptr[0] + (((FAST_FLOAT) RANGE_CENTER) + ((FAST_FLOAT) 0.5));
  160. tmp10 = z5 + wsptr[4];
  161. tmp11 = z5 - wsptr[4];
  162. tmp13 = wsptr[2] + wsptr[6];
  163. tmp12 = (wsptr[2] - wsptr[6]) *
  164. ((FAST_FLOAT) 1.414213562) - tmp13; /* 2*c4 */
  165. tmp0 = tmp10 + tmp13;
  166. tmp3 = tmp10 - tmp13;
  167. tmp1 = tmp11 + tmp12;
  168. tmp2 = tmp11 - tmp12;
  169. /* Odd part */
  170. z13 = wsptr[5] + wsptr[3];
  171. z10 = wsptr[5] - wsptr[3];
  172. z11 = wsptr[1] + wsptr[7];
  173. z12 = wsptr[1] - wsptr[7];
  174. tmp7 = z11 + z13; /* phase 5 */
  175. tmp11 = (z11 - z13) * ((FAST_FLOAT) 1.414213562); /* 2*c4 */
  176. z5 = (z10 + z12) * ((FAST_FLOAT) 1.847759065); /* 2*c2 */
  177. tmp10 = z5 - z12 * ((FAST_FLOAT) 1.082392200); /* 2*(c2-c6) */
  178. tmp12 = z5 - z10 * ((FAST_FLOAT) 2.613125930); /* 2*(c2+c6) */
  179. tmp6 = tmp12 - tmp7; /* phase 2 */
  180. tmp5 = tmp11 - tmp6;
  181. tmp4 = tmp10 - tmp5;
  182. /* Final output stage: float->int conversion and range-limit */
  183. outptr[0] = range_limit[(int) (tmp0 + tmp7) & RANGE_MASK];
  184. outptr[7] = range_limit[(int) (tmp0 - tmp7) & RANGE_MASK];
  185. outptr[1] = range_limit[(int) (tmp1 + tmp6) & RANGE_MASK];
  186. outptr[6] = range_limit[(int) (tmp1 - tmp6) & RANGE_MASK];
  187. outptr[2] = range_limit[(int) (tmp2 + tmp5) & RANGE_MASK];
  188. outptr[5] = range_limit[(int) (tmp2 - tmp5) & RANGE_MASK];
  189. outptr[3] = range_limit[(int) (tmp3 + tmp4) & RANGE_MASK];
  190. outptr[4] = range_limit[(int) (tmp3 - tmp4) & RANGE_MASK];
  191. wsptr += DCTSIZE; /* advance pointer to next row */
  192. }
  193. }
  194. #endif /* DCT_FLOAT_SUPPORTED */