Linux下JPEG图片库:让你操作图片如虎添翼

1. 概述

在Linux操作系统下,JPEG图片库是一种强大的工具,可以让用户对图片进行各种操作。无论是图像压缩、图像处理还是图像编解码等,JPEG图片库都能为用户提供便捷的解决方案。本文将详细介绍如何在Linux系统下使用JPEG图片库,让您轻松掌握图像处理技术。

2. 安装JPEG图片库

2.1 安装依赖项

在安装JPEG图片库之前,需要先安装相关的依赖项。具体依赖项可以通过以下命令进行安装:

sudo apt-get install libjpeg-dev

2.2 下载和编译JPEG图片库

下载JPEG图片库的源代码,并进行编译和安装。以下是具体的步骤:

wget http://www.ijg.org/files/jpegsrc.v9d.tar.gz

tar -xzvf jpegsrc.v9d.tar.gz

cd jpeg-9d

./configure

make

sudo make install

3. 图像压缩

使用JPEG图片库可以很方便地进行图像压缩。以下是一个简单的示例:

#include <stdio.h>

#include <jpeglib.h>

int compress_image(const char* input_filename, const char* output_filename, int quality) {

struct jpeg_compress_struct cinfo;

struct jpeg_error_mgr jerr;

FILE* infile = fopen(input_filename, "rb");

FILE* outfile = fopen(output_filename, "wb");

if (!infile || !outfile) {

printf("Failed to open file.");

return -1;

}

cinfo.err = jpeg_std_error(&jerr);

jpeg_create_compress(&cinfo);

jpeg_stdio_dest(&cinfo, outfile);

jpeg_read_header(&cinfo, TRUE);

cinfo.image_quality = quality;

jpeg_start_compress(&cinfo, TRUE);

JSAMPROW row_pointer[1];

int row_stride;

row_stride = cinfo.image_width * cinfo.input_components;

while (cinfo.next_scanline < cinfo.image_height) {

row_pointer[0] = &image_buffer[cinfo.next_scanline * row_stride];

jpeg_write_scanlines(&cinfo, row_pointer, 1);

}

jpeg_finish_compress(&cinfo);

jpeg_destroy_compress(&cinfo);

fclose(infile);

fclose(outfile);

return 0;

}

以上代码实现了一个简单的图像压缩函数compress_image,根据传入的输入文件名、输出文件名和压缩质量参数,将输入的图片压缩保存为输出文件。

4. 图像处理

4.1 图像旋转

使用JPEG图片库可以方便地对图像进行旋转。以下是一个示例:

#include <stdio.h>

#include <jpeglib.h>

int rotate_image(const char* input_filename, const char* output_filename, int degrees) {

struct jpeg_decompress_struct srcinfo;

struct jpeg_compress_struct dstinfo;

struct jpeg_error_mgr jsrcerr, jdsterr;

FILE* infile = fopen(input_filename, "rb");

FILE* outfile = fopen(output_filename, "wb");

if (!infile || !outfile) {

printf("Failed to open file.");

return -1;

}

srcinfo.err = jpeg_std_error(&jsrcerr);

jpeg_create_decompress(&srcinfo);

jpeg_stdio_src(&srcinfo, infile);

jpeg_read_header(&srcinfo, TRUE);

jpeg_start_decompress(&srcinfo);

int width = srcinfo.image_width;

int height = srcinfo.image_height;

int num_components = srcinfo.num_components;

unsigned char* image_buffer = (unsigned char*)malloc(width * height * num_components);

while (srcinfo.output_scanline < srcinfo.image_height) {

unsigned char* row_pointer = image_buffer + num_components * width * srcinfo.output_scanline;

jpeg_read_scanlines(&srcinfo, &row_pointer, 1);

}

jpeg_finish_decompress(&srcinfo);

jpeg_destroy_decompress(&srcinfo);

dstinfo.err = jpeg_std_error(&jdsterr);

jpeg_create_compress(&dstinfo);

jpeg_stdio_dest(&dstinfo, outfile);

dstinfo.image_width = width;

dstinfo.image_height = height;

dstinfo.input_components = num_components;

dstinfo.in_color_space = JCS_RGB;

jpeg_set_defaults(&dstinfo);

jpeg_set_quality(&dstinfo, 90, TRUE);

jpeg_start_compress(&dstinfo, TRUE);

int row_stride = width * num_components;

if (degrees == 90 || degrees == 270) {

dstinfo.image_width = height;

dstinfo.image_height = width;

row_stride = height * num_components;

}

JSAMPROW row_pointer[1];

int i, j, k;

unsigned char* rotated_buffer = (unsigned char*)malloc(row_stride * height);

for (i = 0; i < height; i++) {

row_pointer[0] = &rotated_buffer[i * row_stride];

if (degrees == 90) {

for (j = 0; j < width; j++) {

for (k = 0; k < num_components; k++) {

rotated_buffer[(height - i - 1) * row_stride + j * num_components + k] = image_buffer[j * num_components * height + i * num_components + k];

}

}

}

else if (degrees == 270) {

for (j = 0; j < width; j++) {

for (k = 0; k < num_components; k++) {

rotated_buffer[i * row_stride + (width - j - 1) * num_components + k] = image_buffer[j * num_components * height + i * num_components + k];

}

}

}

}

while (dstinfo.next_scanline < dstinfo.image_height) {

row_pointer[0] = &rotated_buffer[dstinfo.next_scanline * row_stride];

jpeg_write_scanlines(&dstinfo, row_pointer, 1);

}

jpeg_finish_compress(&dstinfo);

jpeg_destroy_compress(&dstinfo);

fclose(infile);

fclose(outfile);

return 0;

}

以上代码实现了一个图像旋转函数rotate_image,根据传入的输入文件名、输出文件名和旋转角度参数,将输入的图片旋转后保存为输出文件。

4.2 图像裁剪

使用JPEG图片库还可以进行图像裁剪操作。以下是一个简单的示例:

#include <stdio.h>

#include <jpeglib.h>

int crop_image(const char* input_filename, const char* output_filename, int x, int y, int width, int height) {

struct jpeg_decompress_struct srcinfo;

struct jpeg_compress_struct dstinfo;

struct jpeg_error_mgr jsrcerr, jdsterr;

FILE* infile = fopen(input_filename, "rb");

FILE* outfile = fopen(output_filename, "wb");

if (!infile || !outfile) {

printf("Failed to open file.");

return -1;

}

srcinfo.err = jpeg_std_error(&jsrcerr);

jpeg_create_decompress(&srcinfo);

jpeg_stdio_src(&srcinfo, infile);

jpeg_read_header(&srcinfo, TRUE);

jpeg_start_decompress(&srcinfo);

int num_components = srcinfo.num_components;

unsigned char* image_buffer = (unsigned char*)malloc(width * height * num_components);

int row_stride = srcinfo.output_width * srcinfo.num_components;

JSAMPROW row_pointer[1];

while (srcinfo.output_scanline < srcinfo.output_height) {

if (srcinfo.output_scanline >= y && srcinfo.output_scanline < y + height) {

unsigned char* row_pointer = image_buffer + num_components * width * (srcinfo.output_scanline - y);

jpeg_read_scanlines(&srcinfo, &row_pointer, 1);

}

else {

jpeg_read_scanlines(&srcinfo, NULL, 1);

}

}

jpeg_finish_decompress(&srcinfo);

jpeg_destroy_decompress(&srcinfo);

dstinfo.err = jpeg_std_error(&jdsterr);

jpeg_create_compress(&dstinfo);

jpeg_stdio_dest(&dstinfo, outfile);

dstinfo.image_width = width;

dstinfo.image_height = height;

dstinfo.input_components = srcinfo.num_components;

dstinfo.in_color_space = srcinfo.out_color_space;

jpeg_set_defaults(&dstinfo);

jpeg_set_quality(&dstinfo, 90, TRUE);

jpeg_start_compress(&dstinfo, TRUE);

while (dstinfo.next_scanline < dstinfo.image_height) {

row_pointer[0] = &image_buffer[dstinfo.next_scanline * row_stride];

jpeg_write_scanlines(&dstinfo, row_pointer, 1);

}

jpeg_finish_compress(&dstinfo);

jpeg_destroy_compress(&dstinfo);

fclose(infile);

fclose(outfile);

return 0;

}

以上代码实现了一个图像裁剪函数crop_image,根据传入的输入文件名、输出文件名和裁剪参数,将输入的图片进行裁剪后保存为输出文件。

5. 图像编解码

JPEG图片库还提供了对图像进行编解码的功能。以下是一个简单的示例:

#include <stdio.h>

#include <jpeglib.h>

int main() {

struct jpeg_decompress_struct cinfo;

struct jpeg_error_mgr jerr;

FILE* infile = fopen("input.jpg", "rb");

if (!infile) {

printf("Failed to open file.");

return -1;

}

cinfo.err = jpeg_std_error(&jerr);

jpeg_create_decompress(&cinfo);

jpeg_stdio_src(&cinfo, infile);

jpeg_read_header(&cinfo, TRUE);

jpeg_start_decompress(&cinfo);

int width = cinfo.output_width;

int height = cinfo.output_height;

int num_components = cinfo.output_components;

unsigned char* image_buffer = (unsigned char*)malloc(width * height * num_components);

int row_stride = width * num_components;

JSAMPROW row_pointer[1];

while (cinfo.output_scanline < cinfo.output_height) {

row_pointer[0] = &image_buffer[cinfo.output_scanline * row_stride];

jpeg_read_scanlines(&cinfo, row_pointer, 1);

}

jpeg_finish_decompress(&cinfo);

jpeg_destroy_decompress(&cinfo);

fclose(infile);

// 在此处对图像进行处理...

struct jpeg_compress_struct dstinfo;

struct jpeg_error_mgr jdsterr;

FILE* outfile = fopen("output.jpg", "wb");

if (!outfile) {

printf("Failed to open file.");

return -1;

}

dstinfo.err = jpeg_std_error(&jdsterr);

jpeg_create_compress(&dstinfo);

jpeg_stdio_dest(&dstinfo, outfile);

dstinfo.image_width = width;

dstinfo.image_height = height;

dstinfo.input_components = num_components;

dstinfo.in_color_space = cinfo.out_color_space;

jpeg_set_defaults(&dstinfo);

jpeg_set_quality(&dstinfo, 90, TRUE);

jpeg_start_compress(&dstinfo, TRUE);

while (dstinfo.next_scanline < dstinfo.image_height) {

row_pointer[0] = &image_buffer[dstinfo.next_scanline * row_stride];

jpeg_write_scanlines(&dstinfo, row_pointer, 1);

}

jpeg_finish_compress(&dstinfo);

jpeg_destroy_compress(&dstinfo);

fclose(outfile);

return 0;

}

以上代码通过JPEG图片库将一张JPEG格式的图片进行解码,存储为图像缓存。然后对图像进行处理后,再将图像进行编码保存为新的JPEG文件。

6. 结论

在Linux操作系统下,JPEG图片库为用户提供了强大的图像处理能力,可以轻松地实现图像压缩、图像处理和图像编解码等功能。通过本文的介绍,相信您已经对如何在Linux系统下使用JPEG图片库有了一定的了解。希望您能够利用这个强大的工具,让您的图片操作更加高效方便。

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