원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.8 No.7
2015.07
pp.199-212
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper proposes a novel image compression algorithm using curvelet transform. The proposed research decomposed the original image into curvelet coefficients by using fast discrete curvelet transform, after that the different scales of quantized curvelet coefficients were selected for lossy compression by the help of cutoff threshold. The proposed method was compared with image compression method based on wavelet transform. Experimental results show that the compression performance of our method gains much improvement based on PSNR, MSE and memory size. Moreover, the algorithm works fairly well for declining block effect at higher compression ratios.
목차
Abstract
1. Introduction
2. Curvelet Transform
2.1 Continuous-Time Curvelet Transforms
2.2 Digital Curvelet Transforms
3. Flowchart for Image Compression Based On Curvelet Transforms
4. Algorithm for Image Compression Based On Curvelet Transforms
5. Simulation Result
5.1 PSNR and MSE for Image Compression
6. Summary
References
1. Introduction
2. Curvelet Transform
2.1 Continuous-Time Curvelet Transforms
2.2 Digital Curvelet Transforms
3. Flowchart for Image Compression Based On Curvelet Transforms
4. Algorithm for Image Compression Based On Curvelet Transforms
5. Simulation Result
5.1 PSNR and MSE for Image Compression
6. Summary
References
저자정보
참고문헌
자료제공 : 네이버학술정보