首页    期刊浏览 2024年11月24日 星期日
登录注册

文章基本信息

  • 标题:Image Compression Using Discrete Cosine Transform
  • 本地全文:下载
  • 作者:Nageswara Rao Thota Srinivasa Kumar Devireddy
  • 期刊名称:Computer Sciences and Telecommunications
  • 印刷版ISSN:1512-1232
  • 出版年度:2009
  • 卷号:17
  • 期号:03
  • 出版社:Internet Academy
  • 摘要:

    Image compression is the application of data compression on digital images.
    Image compression can be lossy or lossless. In this paper it is being attempted to
    implement basic JPEG compression using only basic MATLAB functions. In this paper
    the lossy compression techniques have been used, where data loss cannot affect the
    image clarity in this area. Image compression addresses the problem of reducing the
    amount of data required to represent a digital image. It is also used for reducing the
    redundancy that is nothing but avoiding the duplicate data. It also reduces the storage
    area to load an image. For this purpose we are using JPEG. JPEG is a still frame
    compression standard, which is based on, the Discrete Cosine Transform and it is also
    adequate for most compression applications. The discrete cosine transform (DCT) is a
    mathematical function that transforms digital image data from the spatial domain to the
    frequency domain

  • 关键词:Image Compression; JPEG; DCT; Fourier transform; Spatial Domain; Frequency Domain; Quantization*3
国家哲学社会科学文献中心版权所有