Earticle

초록

영어

Images include information about human body which is used for different purposes such as medical, security and other plans. Compression of images is used in some applications such as profiling data and transmission systems. Regard to importance of images information, lossless or lossy compression is preferred. Lossless compressions are JPEG, JPEG-LS and JPEG 2000 is few well-known methods for lossless compression. We will use differential pulse code modulation for image compression with Huffman encoder, which is one of the latest and provides good compression ratio, peak signal noise ratio and minimum mean square error. In real time application which needs hardware implementation, low complex algorithm accelerates compression process. In this dissertation, we use differential pulse code modulation for image compression lossless and near-lossless compression method is introduced which is efficient due to its high compression ratio and simplicity. This method is consists of a new transformation method called Enhanced DPCM Transformation (EDT) which has a good energy compaction and a suitable Huffman encoding. After introduce this compression method, it is apply on different images from Corel dataset for experimental results and analysis. As well we compare it with other existing methods with respect to parameter compression ratio, peak signal noise ratio and mean square error.

목차

Abstract
 1. Introduction
  1.1 Classification of Image-Compression
 2. Purpose of Image Compression Methods
 3. Related Work
 4. Proposed0 Method
 5. Expected Outcome
 6. Conclusion
 References

키워드

저자

• Rime Raj Singh Tomar [ Rime Raj Singh Tomar and Kapil Jain ITM UNIVERSE, Gwalior ]
• Kapil Jain [ Rime Raj Singh Tomar and Kapil Jain ITM UNIVERSE, Gwalior ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605