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