Earticle

초록

영어

In order to solve the issue of embedded image processing, a method of mixed compression for RGB565 format true color image is proposed. According to the inherent correlation of image data, the method adopts the discrete cosine transform and rearrangement to centralize the data that have higher correlation. Finally, it achieves the image compression by improving the run-length coding combined with statistical coding. Experiments show that the method can compress the true color images with RGB565 format effectively on the platform of ARM-Linux, and achieve a good compression ratio.

목차

Abstract
 1. The basic Principle of DCT and Run-length Encoding
  1.1 The DCT Transform Principle
  1.2 RLE Coding Theory
 2. The Compression Method for RGB565 Format True Color Image
  2.1 DCT and IDCT Transform
  2.2 Data Quantification and the Zig-Zag Scanning
  2.3 The Improved RLE Compression Method
 3. The Improved Image Compression Algorithm Experiment
 4. Conclusion
 References

키워드

저자

• Yan Xijun [ College of Computer and Information Engineering, Hohai University, Nanjing 211100, China ]
• Jiang Lei [ College of Computer and Information Engineering, Hohai University, Nanjing 211100, China ]

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