| Index: third_party/libjpeg/jidctflt.c
|
| diff --git a/third_party/libjpeg/jidctflt.c b/third_party/libjpeg/jidctflt.c
|
| deleted file mode 100644
|
| index 0188ce3dfcd2ce2ebaa57c17da22101de01b6f2a..0000000000000000000000000000000000000000
|
| --- a/third_party/libjpeg/jidctflt.c
|
| +++ /dev/null
|
| @@ -1,242 +0,0 @@
|
| -/*
|
| - * jidctflt.c
|
| - *
|
| - * Copyright (C) 1994-1998, Thomas G. Lane.
|
| - * This file is part of the Independent JPEG Group's software.
|
| - * For conditions of distribution and use, see the accompanying README file.
|
| - *
|
| - * This file contains a floating-point implementation of the
|
| - * inverse DCT (Discrete Cosine Transform). In the IJG code, this routine
|
| - * must also perform dequantization of the input coefficients.
|
| - *
|
| - * This implementation should be more accurate than either of the integer
|
| - * IDCT implementations. However, it may not give the same results on all
|
| - * machines because of differences in roundoff behavior. Speed will depend
|
| - * on the hardware's floating point capacity.
|
| - *
|
| - * A 2-D IDCT can be done by 1-D IDCT on each column followed by 1-D IDCT
|
| - * on each row (or vice versa, but it's more convenient to emit a row at
|
| - * a time). Direct algorithms are also available, but they are much more
|
| - * complex and seem not to be any faster when reduced to code.
|
| - *
|
| - * This implementation is based on Arai, Agui, and Nakajima's algorithm for
|
| - * scaled DCT. Their original paper (Trans. IEICE E-71(11):1095) is in
|
| - * Japanese, but the algorithm is described in the Pennebaker & Mitchell
|
| - * JPEG textbook (see REFERENCES section in file README). The following code
|
| - * is based directly on figure 4-8 in P&M.
|
| - * While an 8-point DCT cannot be done in less than 11 multiplies, it is
|
| - * possible to arrange the computation so that many of the multiplies are
|
| - * simple scalings of the final outputs. These multiplies can then be
|
| - * folded into the multiplications or divisions by the JPEG quantization
|
| - * table entries. The AA&N method leaves only 5 multiplies and 29 adds
|
| - * to be done in the DCT itself.
|
| - * The primary disadvantage of this method is that with a fixed-point
|
| - * implementation, accuracy is lost due to imprecise representation of the
|
| - * scaled quantization values. However, that problem does not arise if
|
| - * we use floating point arithmetic.
|
| - */
|
| -
|
| -#define JPEG_INTERNALS
|
| -#include "jinclude.h"
|
| -#include "jpeglib.h"
|
| -#include "jdct.h" /* Private declarations for DCT subsystem */
|
| -
|
| -#ifdef DCT_FLOAT_SUPPORTED
|
| -
|
| -
|
| -/*
|
| - * This module is specialized to the case DCTSIZE = 8.
|
| - */
|
| -
|
| -#if DCTSIZE != 8
|
| - Sorry, this code only copes with 8x8 DCTs. /* deliberate syntax err */
|
| -#endif
|
| -
|
| -
|
| -/* Dequantize a coefficient by multiplying it by the multiplier-table
|
| - * entry; produce a float result.
|
| - */
|
| -
|
| -#define DEQUANTIZE(coef,quantval) (((FAST_FLOAT) (coef)) * (quantval))
|
| -
|
| -
|
| -/*
|
| - * Perform dequantization and inverse DCT on one block of coefficients.
|
| - */
|
| -
|
| -GLOBAL(void)
|
| -jpeg_idct_float (j_decompress_ptr cinfo, jpeg_component_info * compptr,
|
| - JCOEFPTR coef_block,
|
| - JSAMPARRAY output_buf, JDIMENSION output_col)
|
| -{
|
| - FAST_FLOAT tmp0, tmp1, tmp2, tmp3, tmp4, tmp5, tmp6, tmp7;
|
| - FAST_FLOAT tmp10, tmp11, tmp12, tmp13;
|
| - FAST_FLOAT z5, z10, z11, z12, z13;
|
| - JCOEFPTR inptr;
|
| - FLOAT_MULT_TYPE * quantptr;
|
| - FAST_FLOAT * wsptr;
|
| - JSAMPROW outptr;
|
| - JSAMPLE *range_limit = IDCT_range_limit(cinfo);
|
| - int ctr;
|
| - FAST_FLOAT workspace[DCTSIZE2]; /* buffers data between passes */
|
| - SHIFT_TEMPS
|
| -
|
| - /* Pass 1: process columns from input, store into work array. */
|
| -
|
| - inptr = coef_block;
|
| - quantptr = (FLOAT_MULT_TYPE *) compptr->dct_table;
|
| - wsptr = workspace;
|
| - for (ctr = DCTSIZE; ctr > 0; ctr--) {
|
| - /* Due to quantization, we will usually find that many of the input
|
| - * coefficients are zero, especially the AC terms. We can exploit this
|
| - * by short-circuiting the IDCT calculation for any column in which all
|
| - * the AC terms are zero. In that case each output is equal to the
|
| - * DC coefficient (with scale factor as needed).
|
| - * With typical images and quantization tables, half or more of the
|
| - * column DCT calculations can be simplified this way.
|
| - */
|
| -
|
| - if (inptr[DCTSIZE*1] == 0 && inptr[DCTSIZE*2] == 0 &&
|
| - inptr[DCTSIZE*3] == 0 && inptr[DCTSIZE*4] == 0 &&
|
| - inptr[DCTSIZE*5] == 0 && inptr[DCTSIZE*6] == 0 &&
|
| - inptr[DCTSIZE*7] == 0) {
|
| - /* AC terms all zero */
|
| - FAST_FLOAT dcval = DEQUANTIZE(inptr[DCTSIZE*0], quantptr[DCTSIZE*0]);
|
| -
|
| - wsptr[DCTSIZE*0] = dcval;
|
| - wsptr[DCTSIZE*1] = dcval;
|
| - wsptr[DCTSIZE*2] = dcval;
|
| - wsptr[DCTSIZE*3] = dcval;
|
| - wsptr[DCTSIZE*4] = dcval;
|
| - wsptr[DCTSIZE*5] = dcval;
|
| - wsptr[DCTSIZE*6] = dcval;
|
| - wsptr[DCTSIZE*7] = dcval;
|
| -
|
| - inptr++; /* advance pointers to next column */
|
| - quantptr++;
|
| - wsptr++;
|
| - continue;
|
| - }
|
| -
|
| - /* Even part */
|
| -
|
| - tmp0 = DEQUANTIZE(inptr[DCTSIZE*0], quantptr[DCTSIZE*0]);
|
| - tmp1 = DEQUANTIZE(inptr[DCTSIZE*2], quantptr[DCTSIZE*2]);
|
| - tmp2 = DEQUANTIZE(inptr[DCTSIZE*4], quantptr[DCTSIZE*4]);
|
| - tmp3 = DEQUANTIZE(inptr[DCTSIZE*6], quantptr[DCTSIZE*6]);
|
| -
|
| - tmp10 = tmp0 + tmp2; /* phase 3 */
|
| - tmp11 = tmp0 - tmp2;
|
| -
|
| - tmp13 = tmp1 + tmp3; /* phases 5-3 */
|
| - tmp12 = (tmp1 - tmp3) * ((FAST_FLOAT) 1.414213562) - tmp13; /* 2*c4 */
|
| -
|
| - tmp0 = tmp10 + tmp13; /* phase 2 */
|
| - tmp3 = tmp10 - tmp13;
|
| - tmp1 = tmp11 + tmp12;
|
| - tmp2 = tmp11 - tmp12;
|
| -
|
| - /* Odd part */
|
| -
|
| - tmp4 = DEQUANTIZE(inptr[DCTSIZE*1], quantptr[DCTSIZE*1]);
|
| - tmp5 = DEQUANTIZE(inptr[DCTSIZE*3], quantptr[DCTSIZE*3]);
|
| - tmp6 = DEQUANTIZE(inptr[DCTSIZE*5], quantptr[DCTSIZE*5]);
|
| - tmp7 = DEQUANTIZE(inptr[DCTSIZE*7], quantptr[DCTSIZE*7]);
|
| -
|
| - z13 = tmp6 + tmp5; /* phase 6 */
|
| - z10 = tmp6 - tmp5;
|
| - z11 = tmp4 + tmp7;
|
| - z12 = tmp4 - tmp7;
|
| -
|
| - tmp7 = z11 + z13; /* phase 5 */
|
| - tmp11 = (z11 - z13) * ((FAST_FLOAT) 1.414213562); /* 2*c4 */
|
| -
|
| - z5 = (z10 + z12) * ((FAST_FLOAT) 1.847759065); /* 2*c2 */
|
| - tmp10 = ((FAST_FLOAT) 1.082392200) * z12 - z5; /* 2*(c2-c6) */
|
| - tmp12 = ((FAST_FLOAT) -2.613125930) * z10 + z5; /* -2*(c2+c6) */
|
| -
|
| - tmp6 = tmp12 - tmp7; /* phase 2 */
|
| - tmp5 = tmp11 - tmp6;
|
| - tmp4 = tmp10 + tmp5;
|
| -
|
| - wsptr[DCTSIZE*0] = tmp0 + tmp7;
|
| - wsptr[DCTSIZE*7] = tmp0 - tmp7;
|
| - wsptr[DCTSIZE*1] = tmp1 + tmp6;
|
| - wsptr[DCTSIZE*6] = tmp1 - tmp6;
|
| - wsptr[DCTSIZE*2] = tmp2 + tmp5;
|
| - wsptr[DCTSIZE*5] = tmp2 - tmp5;
|
| - wsptr[DCTSIZE*4] = tmp3 + tmp4;
|
| - wsptr[DCTSIZE*3] = tmp3 - tmp4;
|
| -
|
| - inptr++; /* advance pointers to next column */
|
| - quantptr++;
|
| - wsptr++;
|
| - }
|
| -
|
| - /* Pass 2: process rows from work array, store into output array. */
|
| - /* Note that we must descale the results by a factor of 8 == 2**3. */
|
| -
|
| - wsptr = workspace;
|
| - for (ctr = 0; ctr < DCTSIZE; ctr++) {
|
| - outptr = output_buf[ctr] + output_col;
|
| - /* Rows of zeroes can be exploited in the same way as we did with columns.
|
| - * However, the column calculation has created many nonzero AC terms, so
|
| - * the simplification applies less often (typically 5% to 10% of the time).
|
| - * And testing floats for zero is relatively expensive, so we don't bother.
|
| - */
|
| -
|
| - /* Even part */
|
| -
|
| - tmp10 = wsptr[0] + wsptr[4];
|
| - tmp11 = wsptr[0] - wsptr[4];
|
| -
|
| - tmp13 = wsptr[2] + wsptr[6];
|
| - tmp12 = (wsptr[2] - wsptr[6]) * ((FAST_FLOAT) 1.414213562) - tmp13;
|
| -
|
| - tmp0 = tmp10 + tmp13;
|
| - tmp3 = tmp10 - tmp13;
|
| - tmp1 = tmp11 + tmp12;
|
| - tmp2 = tmp11 - tmp12;
|
| -
|
| - /* Odd part */
|
| -
|
| - z13 = wsptr[5] + wsptr[3];
|
| - z10 = wsptr[5] - wsptr[3];
|
| - z11 = wsptr[1] + wsptr[7];
|
| - z12 = wsptr[1] - wsptr[7];
|
| -
|
| - tmp7 = z11 + z13;
|
| - tmp11 = (z11 - z13) * ((FAST_FLOAT) 1.414213562);
|
| -
|
| - z5 = (z10 + z12) * ((FAST_FLOAT) 1.847759065); /* 2*c2 */
|
| - tmp10 = ((FAST_FLOAT) 1.082392200) * z12 - z5; /* 2*(c2-c6) */
|
| - tmp12 = ((FAST_FLOAT) -2.613125930) * z10 + z5; /* -2*(c2+c6) */
|
| -
|
| - tmp6 = tmp12 - tmp7;
|
| - tmp5 = tmp11 - tmp6;
|
| - tmp4 = tmp10 + tmp5;
|
| -
|
| - /* Final output stage: scale down by a factor of 8 and range-limit */
|
| -
|
| - outptr[0] = range_limit[(int) DESCALE((INT32) (tmp0 + tmp7), 3)
|
| - & RANGE_MASK];
|
| - outptr[7] = range_limit[(int) DESCALE((INT32) (tmp0 - tmp7), 3)
|
| - & RANGE_MASK];
|
| - outptr[1] = range_limit[(int) DESCALE((INT32) (tmp1 + tmp6), 3)
|
| - & RANGE_MASK];
|
| - outptr[6] = range_limit[(int) DESCALE((INT32) (tmp1 - tmp6), 3)
|
| - & RANGE_MASK];
|
| - outptr[2] = range_limit[(int) DESCALE((INT32) (tmp2 + tmp5), 3)
|
| - & RANGE_MASK];
|
| - outptr[5] = range_limit[(int) DESCALE((INT32) (tmp2 - tmp5), 3)
|
| - & RANGE_MASK];
|
| - outptr[4] = range_limit[(int) DESCALE((INT32) (tmp3 + tmp4), 3)
|
| - & RANGE_MASK];
|
| - outptr[3] = range_limit[(int) DESCALE((INT32) (tmp3 - tmp4), 3)
|
| - & RANGE_MASK];
|
| -
|
| - wsptr += DCTSIZE; /* advance pointer to next row */
|
| - }
|
| -}
|
| -
|
| -#endif /* DCT_FLOAT_SUPPORTED */
|
|
|