摘要
针对静态数字图像存在去除各像素之间相关性差的问题,在压缩之前对图像进行去噪处理;然后,运用DCT变换、量化、哈夫曼编码对图像进行压缩;最后,采用MATLAB软件对该算法实现仿真,将不同量化等级下得到的结果进行了分析比较.实验结果表明,该算法所得图像的压缩比和信噪比均较高.
In this paper,the traditional JPEG image compression algorithm has been improved.Firstly,in view of the static digital image,removal of poor correlation problems should be done to deal with the noise of image before compression.Then using the DCT transform,quantization and Huffman coding to compress the image.Finally,using MATLAB software to implement the algorithm simulation,the results under different quantization level is analyzed and compared.The experimental results show that the compression ratio and signal to noise ratio of the algorithm which presented in this paper are high,and it has good application value.
出处
《云南师范大学学报（自然科学版）》
2016年第6期32-39,共8页
Journal of Yunnan Normal University:Natural Sciences Edition
基金
国家自然科学基金资助项目(61262070
61462097)
关键词
图像压缩
去噪
离散余弦变换
量化
哈夫曼编码
Image compression
Denoising
Discrete cosine transform
Quantization
Huffman encoding
