A Study of Image Detail and Contrast Cascade Algorithm

• Main Authors: Hsu-Hung Chen, 陳旭宏
• Other Authors: Chern-Lin Chen
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/97364352736578530456

碩士 === 國立臺灣大學 === 電子工程學研究所 === 96 === In this thesis, an advanced method which can improve detail and contrast of image in luminance is presented and associated hardware experimentation is developed. There are three major features in this thesis ,the first feature is CIEL*a*b* color space transformation which has better separation of luminance and chroma, the second is image processing method which is implemented by detail and contrast cascade, and the third is dynamic image processing. This thesis uses CIEL*a*b* color space which has proper perceptual image and it also can be easily analyzed and processed in linear format. Image detail and contrast cascade architecture has complementary design which could preserve detail and enhance contrast of image simultaneously. The presented approach of dynamic image analysis and parameter adjustment could help enhance the dynamic input images. From the theoretical basis and associated hardware implementation, the presented approach in this thesis has shown feasible and usable. We also expect this content could stimulate different thinking in image research.