/*
* reserved comment block
* DO NOT REMOVE OR ALTER !
*/
/*
* jidctint . c
*
* Copyright ( C ) 1991 - 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 slow - but - accurate integer implementation of the
* inverse DCT ( Discrete Cosine Transform ) . In the IJG code , this routine
* must also perform dequantization of the input coefficients .
*
* 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 an algorithm described in
* C . Loeffler , A . Ligtenberg and G . Moschytz , " Practical Fast 1 - D DCT
* Algorithms with 11 Multiplications " , Proc . Int ' l . Conf . on Acoustics ,
* Speech , and Signal Processing 1989 ( ICASSP ' 89 ) , pp . 988 - 991 .
* The primary algorithm described there uses 11 multiplies and 29 adds .
* We use their alternate method with 12 multiplies and 32 adds .
* The advantage of this method is that no data path contains more than one
* multiplication ; this allows a very simple and accurate implementation in
* scaled fixed - point arithmetic , with a minimal number of shifts .
*/
#define JPEG_INTERNALS
#include "jinclude.h"
#include "jpeglib.h"
#include "jdct.h" /* Private declarations for DCT subsystem */
#ifdef DCT_ISLOW_SUPPORTED
/*
* This module is specialized to the case DCTSIZE = 8 .
*/
#if DCTSIZE != 8
Sorry, this code only copes with 8 x8 DCTs. /* deliberate syntax err */
#endif
/*
* The poop on this scaling stuff is as follows :
*
* Each 1 - D IDCT step produces outputs which are a factor of sqrt ( N )
* larger than the true IDCT outputs . The final outputs are therefore
* a factor of N larger than desired ; since N = 8 this can be cured by
* a simple right shift at the end of the algorithm . The advantage of
* this arrangement is that we save two multiplications per 1 - D IDCT ,
* because the y0 and y4 inputs need not be divided by sqrt ( N ) .
*
* We have to do addition and subtraction of the integer inputs , which
* is no problem , and multiplication by fractional constants , which is
* a problem to do in integer arithmetic . We multiply all the constants
* by CONST_SCALE and convert them to integer constants ( thus retaining
* CONST_BITS bits of precision in the constants ) . After doing a
* multiplication we have to divide the product by CONST_SCALE , with proper
* rounding , to produce the correct output . This division can be done
* cheaply as a right shift of CONST_BITS bits . We postpone shifting
* as long as possible so that partial sums can be added together with
* full fractional precision .
*
* The outputs of the first pass are scaled up by PASS1_BITS bits so that
* they are represented to better - than - integral precision . These outputs
* require BITS_IN_JSAMPLE + PASS1_BITS + 3 bits ; this fits in a 16 - bit word
* with the recommended scaling . ( To scale up 12 - bit sample data further , an
* intermediate INT32 array would be needed . )
*
* To avoid overflow of the 32 - bit intermediate results in pass 2 , we must
* have BITS_IN_JSAMPLE + CONST_BITS + PASS1_BITS < = 26 . Error analysis
* shows that the values given below are the most effective .
*/
#if BITS_IN_JSAMPLE == 8
#define CONST_BITS 13
#define PASS1_BITS 2
#else
#define CONST_BITS 13
#define PASS1_BITS 1 /* lose a little precision to avoid overflow */
#endif
/* Some C compilers fail to reduce "FIX(constant)" at compile time, thus
* causing a lot of useless floating - point operations at run time .
* To get around this we use the following pre - calculated constants .
* If you change CONST_BITS you may want to add appropriate values .
* ( With a reasonable C compiler , you can just rely on the FIX ( ) macro . . . )
*/
#if CONST_BITS == 13
#define FIX_0_298631336 ((INT32) 2446 ) /* FIX(0.298631336) */
#define FIX_0_390180644 ((INT32) 3196 ) /* FIX(0.390180644) */
#define FIX_0_541196100 ((INT32) 4433 ) /* FIX(0.541196100) */
#define FIX_0_765366865 ((INT32) 6270 ) /* FIX(0.765366865) */
#define FIX_0_899976223 ((INT32) 7373 ) /* FIX(0.899976223) */
#define FIX_1_175875602 ((INT32) 9633 ) /* FIX(1.175875602) */
#define FIX_1_501321110 ((INT32) 12299 ) /* FIX(1.501321110) */
#define FIX_1_847759065 ((INT32) 15137 ) /* FIX(1.847759065) */
#define FIX_1_961570560 ((INT32) 16069 ) /* FIX(1.961570560) */
#define FIX_2_053119869 ((INT32) 16819 ) /* FIX(2.053119869) */
#define FIX_2_562915447 ((INT32) 20995 ) /* FIX(2.562915447) */
#define FIX_3_072711026 ((INT32) 25172 ) /* FIX(3.072711026) */
#else
#define FIX_0_298631336 FIX(0 .298631336 )
#define FIX_0_390180644 FIX(0 .390180644 )
#define FIX_0_541196100 FIX(0 .541196100 )
#define FIX_0_765366865 FIX(0 .765366865 )
#define FIX_0_899976223 FIX(0 .899976223 )
#define FIX_1_175875602 FIX(1 .175875602 )
#define FIX_1_501321110 FIX(1 .501321110 )
#define FIX_1_847759065 FIX(1 .847759065 )
#define FIX_1_961570560 FIX(1 .961570560 )
#define FIX_2_053119869 FIX(2 .053119869 )
#define FIX_2_562915447 FIX(2 .562915447 )
#define FIX_3_072711026 FIX(3 .072711026 )
#endif
/* Multiply an INT32 variable by an INT32 constant to yield an INT32 result.
* For 8 - bit samples with the recommended scaling , all the variable
* and constant values involved are no more than 16 bits wide , so a
* 16 x16 - > 32 bit multiply can be used instead of a full 32 x32 multiply .
* For 12 - bit samples , a full 32 - bit multiplication will be needed .
*/
#if BITS_IN_JSAMPLE == 8
#define MULTIPLY(var,const ) MULTIPLY16C16(var,const )
#else
#define MULTIPLY(var,const ) ((var) * (const ))
#endif
/* Dequantize a coefficient by multiplying it by the multiplier-table
* entry ; produce an int result . In this module , both inputs and result
* are 16 bits or less , so either int or short multiply will work .
*/
#define DEQUANTIZE(coef,quantval) (((ISLOW_MULT_TYPE) (coef)) * (quantval))
/*
* Perform dequantization and inverse DCT on one block of coefficients .
*/
GLOBAL(void )
jpeg_idct_islow (j_decompress_ptr cinfo, jpeg_component_info * compptr,
JCOEFPTR coef_block,
JSAMPARRAY output_buf, JDIMENSION output_col)
{
INT32 tmp0, tmp1, tmp2, tmp3;
INT32 tmp10, tmp11, tmp12, tmp13;
INT32 z1, z2, z3, z4, z5;
JCOEFPTR inptr;
ISLOW_MULT_TYPE * quantptr;
int * wsptr;
JSAMPROW outptr;
JSAMPLE *range_limit = IDCT_range_limit(cinfo);
int ctr;
int workspace[DCTSIZE2]; /* buffers data between passes */
SHIFT_TEMPS
/* Pass 1: process columns from input, store into work array. */
/* Note results are scaled up by sqrt(8) compared to a true IDCT; */
/* furthermore, we scale the results by 2**PASS1_BITS. */
inptr = coef_block;
quantptr = (ISLOW_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 */
int dcval = DEQUANTIZE(inptr[DCTSIZE*0 ], quantptr[DCTSIZE*0 ]) << PASS1_BITS;
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: reverse the even part of the forward DCT. */
/* The rotator is sqrt(2)*c(-6). */
z2 = DEQUANTIZE(inptr[DCTSIZE*2 ], quantptr[DCTSIZE*2 ]);
z3 = DEQUANTIZE(inptr[DCTSIZE*6 ], quantptr[DCTSIZE*6 ]);
z1 = MULTIPLY(z2 + z3, FIX_0_541196100);
tmp2 = z1 + MULTIPLY(z3, - FIX_1_847759065);
tmp3 = z1 + MULTIPLY(z2, FIX_0_765366865);
z2 = DEQUANTIZE(inptr[DCTSIZE*0 ], quantptr[DCTSIZE*0 ]);
z3 = DEQUANTIZE(inptr[DCTSIZE*4 ], quantptr[DCTSIZE*4 ]);
tmp0 = (z2 + z3) << CONST_BITS;
tmp1 = (z2 - z3) << CONST_BITS;
tmp10 = tmp0 + tmp3;
tmp13 = tmp0 - tmp3;
tmp11 = tmp1 + tmp2;
tmp12 = tmp1 - tmp2;
/* Odd part per figure 8; the matrix is unitary and hence its
* transpose is its inverse . i0 . . i3 are y7 , y5 , y3 , y1 respectively .
*/
tmp0 = DEQUANTIZE(inptr[DCTSIZE*7 ], quantptr[DCTSIZE*7 ]);
tmp1 = DEQUANTIZE(inptr[DCTSIZE*5 ], quantptr[DCTSIZE*5 ]);
tmp2 = DEQUANTIZE(inptr[DCTSIZE*3 ], quantptr[DCTSIZE*3 ]);
tmp3 = DEQUANTIZE(inptr[DCTSIZE*1 ], quantptr[DCTSIZE*1 ]);
z1 = tmp0 + tmp3;
z2 = tmp1 + tmp2;
z3 = tmp0 + tmp2;
z4 = tmp1 + tmp3;
z5 = MULTIPLY(z3 + z4, FIX_1_175875602); /* sqrt(2) * c3 */
tmp0 = MULTIPLY(tmp0, FIX_0_298631336); /* sqrt(2) * (-c1+c3+c5-c7) */
tmp1 = MULTIPLY(tmp1, FIX_2_053119869); /* sqrt(2) * ( c1+c3-c5+c7) */
tmp2 = MULTIPLY(tmp2, FIX_3_072711026); /* sqrt(2) * ( c1+c3+c5-c7) */
tmp3 = MULTIPLY(tmp3, FIX_1_501321110); /* sqrt(2) * ( c1+c3-c5-c7) */
z1 = MULTIPLY(z1, - FIX_0_899976223); /* sqrt(2) * (c7-c3) */
z2 = MULTIPLY(z2, - FIX_2_562915447); /* sqrt(2) * (-c1-c3) */
z3 = MULTIPLY(z3, - FIX_1_961570560); /* sqrt(2) * (-c3-c5) */
z4 = MULTIPLY(z4, - FIX_0_390180644); /* sqrt(2) * (c5-c3) */
z3 += z5;
z4 += z5;
tmp0 += z1 + z3;
tmp1 += z2 + z4;
tmp2 += z2 + z3;
tmp3 += z1 + z4;
/* Final output stage: inputs are tmp10..tmp13, tmp0..tmp3 */
wsptr[DCTSIZE*0 ] = (int ) DESCALE(tmp10 + tmp3, CONST_BITS-PASS1_BITS);
wsptr[DCTSIZE*7 ] = (int ) DESCALE(tmp10 - tmp3, CONST_BITS-PASS1_BITS);
wsptr[DCTSIZE*1 ] = (int ) DESCALE(tmp11 + tmp2, CONST_BITS-PASS1_BITS);
wsptr[DCTSIZE*6 ] = (int ) DESCALE(tmp11 - tmp2, CONST_BITS-PASS1_BITS);
wsptr[DCTSIZE*2 ] = (int ) DESCALE(tmp12 + tmp1, CONST_BITS-PASS1_BITS);
wsptr[DCTSIZE*5 ] = (int ) DESCALE(tmp12 - tmp1, CONST_BITS-PASS1_BITS);
wsptr[DCTSIZE*3 ] = (int ) DESCALE(tmp13 + tmp0, CONST_BITS-PASS1_BITS);
wsptr[DCTSIZE*4 ] = (int ) DESCALE(tmp13 - tmp0, CONST_BITS-PASS1_BITS);
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, */
/* and also undo the PASS1_BITS scaling. */
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 ) .
* On machines with very fast multiplication , it ' s possible that the
* test takes more time than it ' s worth . In that case this section
* may be commented out .
*/
#ifndef NO_ZERO_ROW_TEST
if (wsptr[1 ] == 0 && wsptr[2 ] == 0 && wsptr[3 ] == 0 && wsptr[4 ] == 0 &&
wsptr[5 ] == 0 && wsptr[6 ] == 0 && wsptr[7 ] == 0 ) {
/* AC terms all zero */
JSAMPLE dcval = range_limit[(int ) DESCALE((INT32) wsptr[0 ], PASS1_BITS+3 )
& RANGE_MASK];
outptr[0 ] = dcval;
outptr[1 ] = dcval;
outptr[2 ] = dcval;
outptr[3 ] = dcval;
outptr[4 ] = dcval;
outptr[5 ] = dcval;
outptr[6 ] = dcval;
outptr[7 ] = dcval;
wsptr += DCTSIZE; /* advance pointer to next row */
continue ;
}
#endif
/* Even part: reverse the even part of the forward DCT. */
/* The rotator is sqrt(2)*c(-6). */
z2 = (INT32) wsptr[2 ];
z3 = (INT32) wsptr[6 ];
z1 = MULTIPLY(z2 + z3, FIX_0_541196100);
tmp2 = z1 + MULTIPLY(z3, - FIX_1_847759065);
tmp3 = z1 + MULTIPLY(z2, FIX_0_765366865);
tmp0 = ((INT32) wsptr[0 ] + (INT32) wsptr[4 ]) << CONST_BITS;
tmp1 = ((INT32) wsptr[0 ] - (INT32) wsptr[4 ]) << CONST_BITS;
tmp10 = tmp0 + tmp3;
tmp13 = tmp0 - tmp3;
tmp11 = tmp1 + tmp2;
tmp12 = tmp1 - tmp2;
/* Odd part per figure 8; the matrix is unitary and hence its
* transpose is its inverse . i0 . . i3 are y7 , y5 , y3 , y1 respectively .
*/
tmp0 = (INT32) wsptr[7 ];
tmp1 = (INT32) wsptr[5 ];
tmp2 = (INT32) wsptr[3 ];
tmp3 = (INT32) wsptr[1 ];
z1 = tmp0 + tmp3;
z2 = tmp1 + tmp2;
z3 = tmp0 + tmp2;
z4 = tmp1 + tmp3;
z5 = MULTIPLY(z3 + z4, FIX_1_175875602); /* sqrt(2) * c3 */
tmp0 = MULTIPLY(tmp0, FIX_0_298631336); /* sqrt(2) * (-c1+c3+c5-c7) */
tmp1 = MULTIPLY(tmp1, FIX_2_053119869); /* sqrt(2) * ( c1+c3-c5+c7) */
tmp2 = MULTIPLY(tmp2, FIX_3_072711026); /* sqrt(2) * ( c1+c3+c5-c7) */
tmp3 = MULTIPLY(tmp3, FIX_1_501321110); /* sqrt(2) * ( c1+c3-c5-c7) */
z1 = MULTIPLY(z1, - FIX_0_899976223); /* sqrt(2) * (c7-c3) */
z2 = MULTIPLY(z2, - FIX_2_562915447); /* sqrt(2) * (-c1-c3) */
z3 = MULTIPLY(z3, - FIX_1_961570560); /* sqrt(2) * (-c3-c5) */
z4 = MULTIPLY(z4, - FIX_0_390180644); /* sqrt(2) * (c5-c3) */
z3 += z5;
z4 += z5;
tmp0 += z1 + z3;
tmp1 += z2 + z4;
tmp2 += z2 + z3;
tmp3 += z1 + z4;
/* Final output stage: inputs are tmp10..tmp13, tmp0..tmp3 */
outptr[0 ] = range_limit[(int ) DESCALE(tmp10 + tmp3,
CONST_BITS+PASS1_BITS+3 )
& RANGE_MASK];
outptr[7 ] = range_limit[(int ) DESCALE(tmp10 - tmp3,
CONST_BITS+PASS1_BITS+3 )
& RANGE_MASK];
outptr[1 ] = range_limit[(int ) DESCALE(tmp11 + tmp2,
CONST_BITS+PASS1_BITS+3 )
& RANGE_MASK];
outptr[6 ] = range_limit[(int ) DESCALE(tmp11 - tmp2,
CONST_BITS+PASS1_BITS+3 )
& RANGE_MASK];
outptr[2 ] = range_limit[(int ) DESCALE(tmp12 + tmp1,
CONST_BITS+PASS1_BITS+3 )
& RANGE_MASK];
outptr[5 ] = range_limit[(int ) DESCALE(tmp12 - tmp1,
CONST_BITS+PASS1_BITS+3 )
& RANGE_MASK];
outptr[3 ] = range_limit[(int ) DESCALE(tmp13 + tmp0,
CONST_BITS+PASS1_BITS+3 )
& RANGE_MASK];
outptr[4 ] = range_limit[(int ) DESCALE(tmp13 - tmp0,
CONST_BITS+PASS1_BITS+3 )
& RANGE_MASK];
wsptr += DCTSIZE; /* advance pointer to next row */
}
}
#endif /* DCT_ISLOW_SUPPORTED */
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