blob: b25027246a863ca9a3d3dd21eab6fccbe34e3c3f [file]
/*
* Copyright (C) 2011-2012, 2014-2015, 2017-2018, 2022-2024, 2026
* D. R. Commander
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* - Redistributions of source code must retain the above copyright notice,
* this list of conditions and the following disclaimer.
* - Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
* - Neither the name of the libjpeg-turbo Project nor the names of its
* contributors may be used to endorse or promote products derived from this
* software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS",
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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*/
// This program demonstrates how to use TurboJPEG/JNA to approximate the
// functionality of the IJG's cjpeg program. cjpeg features that are not
// covered:
//
// - GIF and Targa input file formats [legacy feature]
// - Separate quality settings for luminance and chrominance
// - The floating-point DCT method [legacy feature]
// - Input image smoothing
// - Progress reporting
// - Debug output
// - Forcing baseline-compatible quantization tables
// - Specifying arbitrary quantization tables
// - Specifying arbitrary sampling factors
// - Scan scripts
import java.io.*;
import java.nio.*;
import java.util.*;
import com.sun.jna.*;
import com.sun.jna.ptr.*;
final class TJComp {
private TJComp() {}
static final String CLASS_NAME =
new TJComp().getClass().getName();
static final int DEFAULT_SUBSAMP = TJ.SAMP_420;
static final int DEFAULT_QUALITY = 75;
static final String[] SUBSAMP_NAME = {
"444", "422", "420", "GRAY", "440", "411", "441", "410", "24"
};
static void usage() {
System.out.println("\nUSAGE: java [Java options] " + CLASS_NAME +
" [options] <Input image> <JPEG image>\n");
System.out.println("The input image can be in Windows BMP or PBMPLUS (PPM/PGM) format.\n");
System.out.println("GENERAL OPTIONS (CAN BE ABBREVIATED)");
System.out.println("------------------------------------");
System.out.println("-icc FILE");
System.out.println(" Embed the ICC (International Color Consortium) color management profile");
System.out.println(" from the specified file into the JPEG image");
System.out.println("-lossless PSV[,Pt]");
System.out.println(" Create a lossless JPEG image (implies -subsamp 444) using predictor");
System.out.println(" selection value PSV (1-7) and optional point transform Pt (0 through");
System.out.println(" {data precision} - 1)");
System.out.println("-maxmemory N");
System.out.println(" Memory limit (in megabytes) for intermediate buffers used with progressive");
System.out.println(" JPEG compression, lossless JPEG compression, and Huffman table optimization");
System.out.println(" [default = no limit]");
System.out.println("-noicc");
System.out.println(" Do not transfer the embedded ICC profile (if any) from a PNG input image");
System.out.println("-precision N");
System.out.println(" Create a JPEG image with N-bit data precision [N = 2..16; default = 8; if N");
System.out.println(" is not 8 or 12, then -lossless must also be specified] (-precision 12");
System.out.println(" implies -optimize unless -arithmetic is also specified)");
System.out.println("-restart N");
System.out.println(" Add a restart marker every N MCU rows [default = 0 (no restart markers)].");
System.out.println(" Append 'B' to specify the restart marker interval in MCUs (lossy only.)\n");
System.out.println("LOSSY JPEG OPTIONS (CAN BE ABBREVIATED)");
System.out.println("---------------------------------------");
System.out.println("-arithmetic");
System.out.println(" Use arithmetic entropy coding instead of Huffman entropy coding (can be");
System.out.println(" combined with -progressive)");
System.out.println("-dct fast");
System.out.println(" Use less accurate DCT algorithm [legacy feature]");
System.out.println("-dct int");
System.out.println(" Use more accurate DCT algorithm [default]");
System.out.println("-grayscale");
System.out.println(" Create a grayscale JPEG image from a full-color input image");
System.out.println("-optimize");
System.out.println(" Use Huffman table optimization");
System.out.println("-progressive");
System.out.println(" Create a progressive JPEG image instead of a single-scan JPEG image (can be");
System.out.println(" combined with -arithmetic; implies -optimize unless -arithmetic is also");
System.out.println(" specified)");
System.out.println("-quality {1..100}");
System.out.format(" Create a JPEG image with the specified quality level [default = %d]\n",
DEFAULT_QUALITY);
System.out.println("-rgb");
System.out.println(" Create a JPEG image that uses the RGB colorspace instead of the YCbCr");
System.out.println(" colorspace");
System.out.println("-subsamp {444|422|440|420|411|441|410|24}");
System.out.println(" Create a JPEG image that uses the specified chrominance subsampling level");
System.out.format(" [default = %s]\n\n", SUBSAMP_NAME[DEFAULT_SUBSAMP]);
System.exit(1);
}
static boolean matchArg(String arg, String string, int minChars) {
if (arg.length() > string.length() || arg.length() < minChars)
return false;
int cmpChars = Math.max(arg.length(), minChars);
string = string.substring(0, cmpChars);
return arg.equalsIgnoreCase(string);
}
public static void main(String[] argv) {
int exitStatus = 0;
Pointer srcBuf = null;
PointerByReference jpegBuf = new PointerByReference();
try {
int i;
int arithmetic = -1, colorspace = TJ.CS_DEFAULT, fastDCT = -1,
losslessPSV = -1, losslessPt = -1, maxMemory = -1, optimize = -1,
precision = 8, progressive = -1, quality = DEFAULT_QUALITY,
restartIntervalBlocks = -1, restartIntervalRows = -1,
subsamp = DEFAULT_SUBSAMP;
boolean noICC = false;
String iccFilename = null;
IntByReference width = new IntByReference(),
height = new IntByReference(),
pixelFormat = new IntByReference(TJ.PF_UNKNOWN);
NativeLongByReference jpegSize = new NativeLongByReference();
for (i = 0; i < argv.length; i++) {
if (matchArg(argv[i], "-arithmetic", 2))
arithmetic = 1;
else if (matchArg(argv[i], "-dct", 2) && i < argv.length - 1) {
i++;
if (matchArg(argv[i], "fast", 1))
fastDCT = 1;
else if (!matchArg(argv[i], "int", 1))
usage();
} else if (matchArg(argv[i], "-grayscale", 2) ||
matchArg(argv[i], "-greyscale", 2))
colorspace = TJ.CS_GRAY;
else if (matchArg(argv[i], "-icc", 2) && i < argv.length - 1)
iccFilename = argv[++i];
else if (matchArg(argv[i], "-lossless", 2) && i < argv.length - 1) {
Scanner scanner = new Scanner(argv[++i]).useDelimiter(",");
try {
if (scanner.hasNextInt())
losslessPSV = scanner.nextInt();
if (scanner.hasNextInt())
losslessPt = scanner.nextInt();
} catch (Exception e) {}
if (losslessPSV < 1 || losslessPSV > 7)
usage();
} else if (matchArg(argv[i], "-maxmemory", 2) && i < argv.length - 1) {
int temp = -1;
try {
temp = Integer.parseInt(argv[++i]);
} catch (NumberFormatException e) {}
if (temp < 0)
usage();
maxMemory = temp;
} else if (matchArg(argv[i], "-noicc", 4))
noICC = true;
else if (matchArg(argv[i], "-optimize", 2) ||
matchArg(argv[i], "-optimise", 2))
optimize = 1;
else if (matchArg(argv[i], "-precision", 4) && i < argv.length - 1) {
int temp = 0;
try {
temp = Integer.parseInt(argv[++i]);
} catch (NumberFormatException e) {}
if (temp < 2 || temp > 16)
usage();
precision = temp;
} else if (matchArg(argv[i], "-progressive", 2))
progressive = 1;
else if (matchArg(argv[i], "-quality", 2) && i < argv.length - 1) {
int temp = 0;
try {
temp = Integer.parseInt(argv[++i]);
} catch (NumberFormatException e) {}
if (temp < 1 || temp > 100)
usage();
quality = temp;
} else if (matchArg(argv[i], "-rgb", 3))
colorspace = TJ.CS_RGB;
else if (matchArg(argv[i], "-restart", 2) && i < argv.length - 1) {
int temp = -1;
String arg = argv[++i];
Scanner scanner = new Scanner(arg).useDelimiter("b|B");
try {
temp = scanner.nextInt();
} catch (Exception e) {}
if (temp < 0 || temp > 65535 || scanner.hasNext())
usage();
if (arg.endsWith("B") || arg.endsWith("b"))
restartIntervalBlocks = temp;
else
restartIntervalRows = temp;
} else if (matchArg(argv[i], "-subsamp", 2) && i < argv.length - 1) {
i++;
if (matchArg(argv[i], "444", 3))
subsamp = TJ.SAMP_444;
else if (matchArg(argv[i], "422", 3))
subsamp = TJ.SAMP_422;
else if (matchArg(argv[i], "440", 3))
subsamp = TJ.SAMP_440;
else if (matchArg(argv[i], "420", 3))
subsamp = TJ.SAMP_420;
else if (matchArg(argv[i], "411", 3))
subsamp = TJ.SAMP_411;
else if (matchArg(argv[i], "441", 3))
subsamp = TJ.SAMP_441;
else if (matchArg(argv[i], "410", 3))
subsamp = TJ.SAMP_410;
else if (matchArg(argv[i], "24", 2))
subsamp = TJ.SAMP_24;
else
usage();
} else break;
}
if (i != argv.length - 2)
usage();
if (losslessPSV == -1 && precision != 8 && precision != 12)
usage();
try (TJ.Handle tjInstance = new TJ.Handle(TJ.INIT_COMPRESS)) {
TJ.set(tjInstance, TJ.PARAM_QUALITY, quality);
TJ.set(tjInstance, TJ.PARAM_SUBSAMP, subsamp);
TJ.set(tjInstance, TJ.PARAM_PRECISION, precision);
if (fastDCT >= 0)
TJ.set(tjInstance, TJ.PARAM_FASTDCT, fastDCT);
if (optimize >= 0)
TJ.set(tjInstance, TJ.PARAM_OPTIMIZE, optimize);
if (progressive >= 0)
TJ.set(tjInstance, TJ.PARAM_PROGRESSIVE, progressive);
if (arithmetic >= 0)
TJ.set(tjInstance, TJ.PARAM_ARITHMETIC, arithmetic);
if (losslessPSV >= 1 && losslessPSV <= 7) {
TJ.set(tjInstance, TJ.PARAM_LOSSLESS, 1);
TJ.set(tjInstance, TJ.PARAM_LOSSLESSPSV, losslessPSV);
if (losslessPt >= 0)
TJ.set(tjInstance, TJ.PARAM_LOSSLESSPT, losslessPt);
}
if (restartIntervalBlocks >= 0)
TJ.set(tjInstance, TJ.PARAM_RESTARTBLOCKS, restartIntervalBlocks);
if (restartIntervalRows >= 0)
TJ.set(tjInstance, TJ.PARAM_RESTARTROWS, restartIntervalRows);
if (maxMemory >= 0)
TJ.set(tjInstance, TJ.PARAM_MAXMEMORY, maxMemory);
if (noICC)
TJ.set(tjInstance, TJ.PARAM_SAVEMARKERS, 0);
if (precision <= 8)
srcBuf = TJ.loadImage8(tjInstance, argv[i], width, 1, height,
pixelFormat);
else if (precision <= 12)
srcBuf = TJ.loadImage12(tjInstance, argv[i], width, 1, height,
pixelFormat);
else
srcBuf = TJ.loadImage16(tjInstance, argv[i], width, 1, height,
pixelFormat);
if (pixelFormat.getValue() == TJ.PF_GRAY &&
colorspace == TJ.CS_DEFAULT)
colorspace = TJ.CS_GRAY;
TJ.set(tjInstance, TJ.PARAM_COLORSPACE, colorspace);
if (iccFilename != null) {
File iccFile = new File(iccFilename);
try (FileInputStream fis = new FileInputStream(iccFile)) {
int iccSize = fis.available();
if (iccSize < 1)
throw new Exception("ICC profile contains no data");
try (Memory iccBuf = new Memory(iccSize)) {
fis.getChannel().read(iccBuf.getByteBuffer(0, iccSize));
TJ.setICCProfile(tjInstance, iccBuf, new NativeLong(iccSize));
}
}
}
if (precision <= 8)
TJ.compress8(tjInstance, srcBuf, width.getValue(), 0,
height.getValue(), pixelFormat.getValue(), jpegBuf,
jpegSize);
else if (precision <= 12)
TJ.compress12(tjInstance, srcBuf, width.getValue(), 0,
height.getValue(), pixelFormat.getValue(), jpegBuf,
jpegSize);
else
TJ.compress16(tjInstance, srcBuf, width.getValue(), 0,
height.getValue(), pixelFormat.getValue(), jpegBuf,
jpegSize);
} // try (tjInstance)
File outFile = new File(argv[++i]);
try (FileOutputStream fos = new FileOutputStream(outFile)) {
ByteBuffer bb =
jpegBuf.getValue().getByteBuffer(0, jpegSize.getValue().longValue());
fos.getChannel().write(bb);
}
} catch (Exception e) {
e.printStackTrace();
exitStatus = -1;
} finally {
TJ.free(srcBuf);
TJ.free(jpegBuf.getValue());
}
System.exit(exitStatus);
}
};