文章基本信息

标题：Review Paper on Image Compression using Discrete Wavelet Transform and Discrete Cosine Transform
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作者：Pooja Subhash Patil ; Prof. Kamal Niwaria ; Dr. Manish Jain 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：12
页码：16921
DOI：10.15680/IJIRCCE.2017.0512024
出版社：S&S Publications
摘要：Image Processing refers to processing an image into digital image. Image Compression is reducing theamount of data necessary to denote the digital image. Image Compression techniques to reduce redundancy in rawImage. This paper addresses the different visual quality metrics, in digital image processing such as PSNR, MSE. Theencoder is used to exchange the source data into compressed bytes. The decoder decodes the compression form into itsoriginal Image sequence. Data compression is achieved by removing redundancy of Image. Lossy compression is basedon the principle of removing subjective redundancy. Lossless compression is depended on effective SR (Subjectiveredundancy). The encoder and decoder pair is named by CODEC. This paper presents a new lossy and lossless imagecompression technique using DCT and DWT. In this technique, the compression ratio is compared. In the proposedsystem image compression ratio are compared with sever results. In future image compression will done in DWT.
关键词：DCT; DWT; PSNR; MSE