src/java.desktop/share/native/libjavajpeg/jfdctflt.c
author erikj
Tue, 12 Sep 2017 19:03:39 +0200
changeset 47216 71c04702a3d5
parent 25859 jdk/src/java.desktop/share/native/libjavajpeg/jfdctflt.c@3317bb8137f4
permissions -rw-r--r--
8187443: Forest Consolidation: Move files to unified layout Reviewed-by: darcy, ihse
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
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/*
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 * reserved comment block
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 * DO NOT REMOVE OR ALTER!
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 */
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/*
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 * jfdctflt.c
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 *
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 * Copyright (C) 1994-1996, 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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 * forward DCT (Discrete Cosine Transform).
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 *
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 * This implementation should be more accurate than either of the integer
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 * DCT 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 DCT can be done by 1-D DCT on each row followed by 1-D DCT
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 * on each column.  Direct algorithms are also available, but they are
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 * much more 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 8x8 DCTs. /* deliberate syntax err */
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#endif
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/*
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 * Perform the forward DCT on one block of samples.
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 */
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GLOBAL(void)
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jpeg_fdct_float (FAST_FLOAT * data)
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{
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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 z1, z2, z3, z4, z5, z11, z13;
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  FAST_FLOAT *dataptr;
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  int ctr;
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  /* Pass 1: process rows. */
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  dataptr = data;
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  for (ctr = DCTSIZE-1; ctr >= 0; ctr--) {
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    tmp0 = dataptr[0] + dataptr[7];
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    tmp7 = dataptr[0] - dataptr[7];
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    tmp1 = dataptr[1] + dataptr[6];
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    tmp6 = dataptr[1] - dataptr[6];
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    tmp2 = dataptr[2] + dataptr[5];
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    tmp5 = dataptr[2] - dataptr[5];
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    tmp3 = dataptr[3] + dataptr[4];
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    tmp4 = dataptr[3] - dataptr[4];
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    /* Even part */
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    tmp10 = tmp0 + tmp3;        /* phase 2 */
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    tmp13 = tmp0 - tmp3;
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    tmp11 = tmp1 + tmp2;
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    tmp12 = tmp1 - tmp2;
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    dataptr[0] = tmp10 + tmp11; /* phase 3 */
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    dataptr[4] = tmp10 - tmp11;
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    z1 = (tmp12 + tmp13) * ((FAST_FLOAT) 0.707106781); /* c4 */
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    dataptr[2] = tmp13 + z1;    /* phase 5 */
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    dataptr[6] = tmp13 - z1;
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    /* Odd part */
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    tmp10 = tmp4 + tmp5;        /* phase 2 */
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    tmp11 = tmp5 + tmp6;
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    tmp12 = tmp6 + tmp7;
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    /* The rotator is modified from fig 4-8 to avoid extra negations. */
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    z5 = (tmp10 - tmp12) * ((FAST_FLOAT) 0.382683433); /* c6 */
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    z2 = ((FAST_FLOAT) 0.541196100) * tmp10 + z5; /* c2-c6 */
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    z4 = ((FAST_FLOAT) 1.306562965) * tmp12 + z5; /* c2+c6 */
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    z3 = tmp11 * ((FAST_FLOAT) 0.707106781); /* c4 */
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    z11 = tmp7 + z3;            /* phase 5 */
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    z13 = tmp7 - z3;
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    dataptr[5] = z13 + z2;      /* phase 6 */
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    dataptr[3] = z13 - z2;
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    dataptr[1] = z11 + z4;
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    dataptr[7] = z11 - z4;
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    dataptr += DCTSIZE;         /* advance pointer to next row */
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  }
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  /* Pass 2: process columns. */
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  dataptr = data;
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  for (ctr = DCTSIZE-1; ctr >= 0; ctr--) {
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    tmp0 = dataptr[DCTSIZE*0] + dataptr[DCTSIZE*7];
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    tmp7 = dataptr[DCTSIZE*0] - dataptr[DCTSIZE*7];
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    tmp1 = dataptr[DCTSIZE*1] + dataptr[DCTSIZE*6];
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    tmp6 = dataptr[DCTSIZE*1] - dataptr[DCTSIZE*6];
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    tmp2 = dataptr[DCTSIZE*2] + dataptr[DCTSIZE*5];
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    tmp5 = dataptr[DCTSIZE*2] - dataptr[DCTSIZE*5];
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    tmp3 = dataptr[DCTSIZE*3] + dataptr[DCTSIZE*4];
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    tmp4 = dataptr[DCTSIZE*3] - dataptr[DCTSIZE*4];
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    /* Even part */
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    tmp10 = tmp0 + tmp3;        /* phase 2 */
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    tmp13 = tmp0 - tmp3;
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    tmp11 = tmp1 + tmp2;
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    tmp12 = tmp1 - tmp2;
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    dataptr[DCTSIZE*0] = tmp10 + tmp11; /* phase 3 */
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    dataptr[DCTSIZE*4] = tmp10 - tmp11;
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    z1 = (tmp12 + tmp13) * ((FAST_FLOAT) 0.707106781); /* c4 */
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    dataptr[DCTSIZE*2] = tmp13 + z1; /* phase 5 */
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    dataptr[DCTSIZE*6] = tmp13 - z1;
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    /* Odd part */
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    tmp10 = tmp4 + tmp5;        /* phase 2 */
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    tmp11 = tmp5 + tmp6;
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    tmp12 = tmp6 + tmp7;
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    /* The rotator is modified from fig 4-8 to avoid extra negations. */
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    z5 = (tmp10 - tmp12) * ((FAST_FLOAT) 0.382683433); /* c6 */
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    z2 = ((FAST_FLOAT) 0.541196100) * tmp10 + z5; /* c2-c6 */
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    z4 = ((FAST_FLOAT) 1.306562965) * tmp12 + z5; /* c2+c6 */
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    z3 = tmp11 * ((FAST_FLOAT) 0.707106781); /* c4 */
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    z11 = tmp7 + z3;            /* phase 5 */
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    z13 = tmp7 - z3;
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    dataptr[DCTSIZE*5] = z13 + z2; /* phase 6 */
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    dataptr[DCTSIZE*3] = z13 - z2;
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    dataptr[DCTSIZE*1] = z11 + z4;
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    dataptr[DCTSIZE*7] = z11 - z4;
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    dataptr++;                  /* advance pointer to next column */
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  }
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}
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#endif /* DCT_FLOAT_SUPPORTED */