改进的彩色图像小波压缩算法

S. Babu, P. Eswaran, C. S. Kumar, E. Arts
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引用次数: 0

摘要

近年来,由于与其他技术相比图像压缩技术的清晰度和质量,人们对其进行了研究。基于小波的图像压缩是一种非常重要的方法,有着广泛的应用。图像压缩的目的是通过减少冗余来帮助以有效的方式存储传输的日期。小波压缩减小了图像数据的大小,同时保留信息并保持一定的小波压缩。本文提出了一种改进的小波压缩方法。提议的IWC从数据库中获得彩色图像。在接收到图像之后,将使用滤波器组技术的waveletTransformation应用于测试图像。在压缩之后,逆IWC解压缩算法接收压缩的图像并应用解压缩技术。生成图像,重建图像质量,并评估原始图像。诸如MSE、PSNR之类的数值测量参数用于比较各种图像。从实验结果来看,与现有方法相比,所提出的方法IWC给出了更好的压缩比64.56。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IMPROVED WAVELET COMPRESSION ALGORITHM FOR COLOR IMAGE
An image compression technique has been done in research in the recent years due to its clarity and quality compared to other techniques. Image compression based on wavelet is very important-role and occupies many applications. The objective of image compression is to help in storing the transmitted date in an efficient way by decreasing its redundancy. The wavelet compression reduces the size of the image data while retaining information and maintaining a certain wavelet compression. The proposed method of Improved Wavelet Compression (IWC) is presented in this paper. The proposed IWC gets a color image from the database. After receiving image, waveletTransformation using filter bank techniques are applied to the test image. After compression, the inverse IWC decompression algorithm receives compressed image and applied decompression technique. The image is generated and image quality is reconstructed and the original image is evaluated. The numerical measure parameters such as MSE, PSNR, are used to compare various images. From the experimental result, it is observed that the proposed method IWC gives a better compression ratio in 64.56 while compared to the existing methods.
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