원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.8 No1
2013.01
pp.55-70
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
A novel algorithm for enhancing colour images is proposed. Since DWT is used in image compression and image compression reduces storage space, an algorithm is developed to work directly in DWT space. DWT separates image into high and low frequency components. High frequency components define contrast of an image. Enhancement is done in two steps namely local enhancement and global enhancement. Local enhancement is based on contrast measure and improves contrast. Global enhancement is needed for overall image quality improvement. HSV colour space is used of which V components will undergo enhancement, S component will undergo histogram equalization, and H remains the same for preserving the colour.
목차
Abstract
1. Introduction
2. 2D Discrete Wavelet Transform (DWT)
3. Proposed Algorithm
3.1. Local Contrast Enhancement
3.2. Global Enhancement
4. Quality Measure using Performance Metrics
4.1 JPQM
4.2 WBQM
4.3 PSNR
5. Results and Discussions
6. Conclusion
Acknowledgements
References
1. Introduction
2. 2D Discrete Wavelet Transform (DWT)
3. Proposed Algorithm
3.1. Local Contrast Enhancement
3.2. Global Enhancement
4. Quality Measure using Performance Metrics
4.1 JPQM
4.2 WBQM
4.3 PSNR
5. Results and Discussions
6. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보