원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.8 No.5
2015.05
pp.279-288
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보