jidct_bin_c_trac.c~
来自「JPEG Image compression using IJG standar」· C~ 代码 · 共 374 行
C~
374 行
/* * jidct_bin_l1.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_BIN_L1_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/* * 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 * 16x16->32 bit multiply can be used instead of a full 32x32 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_bin_l1 (j_decompress_ptr cinfo, jpeg_component_info * compptr, JCOEFPTR coef_block, JSAMPARRAY output_buf, JDIMENSION output_col){ INT32 tmp0, tmp1, tmp2, tmp3,tmp4,tmp5,tmp6,tmp7; INT32 tmp10, tmp11, tmp12, tmp13; INT32 z0,z1, z2, z3, z4,z10,z11,z12,z13; 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) { int dcval = DEQUANTIZE(inptr[DCTSIZE*0], quantptr[DCTSIZE*0]) >> 1; 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++; quantptr++; wsptr++; continue; } 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]); 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]); /* 7pi/16 = -3/16d 3/16u */ tmp10 = tmp4; tmp11 = tmp7 +((tmp4 + 4)>>3); /* 3pi/16 = 1/2d -7/8u */ tmp13 = tmp5 + ((tmp6 + 1) >> 1); tmp12 = tmp6 - (((tmp13 << 2) + (tmp13 << 1) + tmp13 + 4) >> 3); z11=(tmp0-tmp2)>>1; z10=(tmp0+tmp2)>>1; /* 3pi/8 = -3/8d 3/8u */ z13 = tmp1 - (((tmp3 << 1) + tmp3 + 4) >> 3); z12 = tmp3 + (((z13 << 1) + z13 + 4) >> 3); tmp4 = tmp11 + tmp12; tmp5 = tmp11 - tmp12; tmp7 = tmp10 + tmp13; tmp6 = tmp10 - tmp13; /* pi/4 = -3/8u -11/16d 7/16u */ tmp5 = (((tmp6<<2) + tmp6 + 4) >> 3) - tmp5; tmp6 = tmp6 - (((tmp5<<1) + tmp5 + 4) >> 3); tmp0 = z10 + z13; tmp1 = z11 + z12; tmp2 = z11 - z12; tmp3 = z10 - z13; z10=tmp0 + tmp7; z11=tmp0 - tmp7; wsptr[DCTSIZE*0] = ((z10)) ; wsptr[DCTSIZE*7] = ((z11)) ; z10=tmp1 + tmp6; z11=tmp1 - tmp6; wsptr[DCTSIZE*1] = ((z10)) ; wsptr[DCTSIZE*6] = ((z11)) ; z10=tmp2 + tmp5; z11=tmp2 - tmp5; wsptr[DCTSIZE*2] = ((z10)) ; wsptr[DCTSIZE*5] = ((z11)) ; z10=tmp3 + tmp4; z11=tmp3 - tmp4; wsptr[DCTSIZE*3] = ((z10)) ; wsptr[DCTSIZE*4] = ((z11)) ; 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) { JSAMPLE dcval = range_limit[(int) DESCALE((INT32) wsptr[0], 2) & 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; continue; }#endif /* Even part: reverse the even part of the forward DCT. */ /* The rotator is sqrt(2)*c(-6). */ /* Even part */ tmp0 = (INT32) wsptr[0]; tmp1 = (INT32) wsptr[2]; tmp2 = (INT32) wsptr[4]; tmp3 = (INT32) wsptr[6]; tmp4 = (INT32) wsptr[1]; tmp5 = (INT32) wsptr[3]; tmp6 = (INT32) wsptr[5]; tmp7 = (INT32) wsptr[7]; /* 7pi/16 = -3/16d 3/16u */ tmp10 = tmp4; tmp11 = tmp7 +((tmp4 + 4)>>3); /* 3pi/16 = 1/2d -7/8u */ tmp13 = tmp5 + ((tmp6 + 1) >> 1); tmp12 = tmp6 - (((tmp13 << 2) + (tmp13 << 1) + tmp13 + 4) >> 3); z11=(tmp0-tmp2)>>1; z10=(tmp0+tmp2)>>1; /* 3pi/8 = -3/8d 3/8u */ z13 = tmp1 - (((tmp3 << 1) + tmp3 + 4) >> 3); z12 = tmp3 + (((z13 << 1) + z13 + 4) >> 3); tmp4 = tmp11 + tmp12; tmp5 = tmp11 - tmp12; tmp7 = tmp10 + tmp13; tmp6 = tmp10 - tmp13; /* pi/4 = -3/8u -11/16d 7/16u */ tmp5 = (((tmp6<<2) + tmp6 + 4) >> 3) - tmp5; tmp6 = tmp6 - (((tmp5<<1) + tmp5 + 4) >> 3); tmp0 = z10 + z13; tmp1 = z11 + z12; tmp2 = z11 - z12; tmp3 = z10 - z13; /* Final output stage: scale down by a factor of 8 and range-limit */ z10=(tmp0 + tmp7); z11=(tmp0 - tmp7); outptr[0] = range_limit[(int)DESCALE(z10,1) & RANGE_MASK]; outptr[7] = range_limit[(int)DESCALE(z11,1) & RANGE_MASK]; z10=(tmp1 + tmp6); z11=(tmp1 - tmp6); outptr[1] = range_limit[(int)DESCALE(z10,1) & RANGE_MASK]; outptr[6] = range_limit[(int)DESCALE(z11,1) & RANGE_MASK]; z10=(tmp2 + tmp5); z11=(tmp2 - tmp5); outptr[2] = range_limit[(int)DESCALE(z10,1) & RANGE_MASK]; outptr[5] = range_limit[(int)DESCALE(z11,1) & RANGE_MASK]; z10=(tmp3 + tmp4); z11=(tmp3 - tmp4); outptr[3] = range_limit[(int)DESCALE(z10,1) & RANGE_MASK]; outptr[4] = range_limit[(int)DESCALE(z11,1) & RANGE_MASK]; wsptr += DCTSIZE; /* advance pointer to next row */ }}#endif /* DCT_BIN_L1_SUPPORTED */
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