원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.4 No.3
2011.09
pp.61-74
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Image compression is a widely addressed researched area. Many compression standards are in place. But still here there is a scope for high compression with quality reconstruction. The JPEG standard makes use of Discrete Cosine Transform (DCT) for compression. The introduction of the wavelets gave a different dimensions to the compression. This paper aims at the analysis of compression using DCT and Wavelet transform by selecting proper threshold method, better result for PSNR have been obtained. Extensive experimentation has been carried out to arrive at the conclusion.
목차
Abstract
1. Introduction
1.1 Introduction to Transformation:
2. ERROR METRICS
2.1. Data Compression Transformation:
2.2. Mean Square Error (MSE):
2.3. Peak Signal-to-Noise Ratio(PSNR):
3. Discrete Cosine Transform(DCT):
3.1 Proposed DCT Algorithm:
4. Introduction to Wavelet Transform
5. Results
6. Conclusion
References
1. Introduction
1.1 Introduction to Transformation:
2. ERROR METRICS
2.1. Data Compression Transformation:
2.2. Mean Square Error (MSE):
2.3. Peak Signal-to-Noise Ratio(PSNR):
3. Discrete Cosine Transform(DCT):
3.1 Proposed DCT Algorithm:
4. Introduction to Wavelet Transform
5. Results
6. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보