Image Synthesis by Low Resolution and Underexposure Images

• Main Authors: Liang-heng Chen, 陳亮亨
• Other Authors: Shen-Chuan Tai
• Format: Others
• Language: en_US
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/06877135537910665692

碩士 === 國立成功大學 === 電腦與通信工程研究所 === 95 === In this thesis, an algorithm is proposed to synthesize an image from two images of the same scene with short exposure time. One of the advantages is to avoid hand-shaking e ect of cameras. One image is high-resolution and has detail information but is underexposed; the other image is well-exposed therefore the resolution is much lower. Each image has its excellences, the HR (high-resolution) image has edge information, and the LR (low-resolution) image has precise luminance, chroma, and contrast. If the contrast enhancement algorithm is applied directly to the HR image, it also enhances the noise signals; up-sample the LR image by interpolation algorithms seems good, but the edges are blurred. In practical, the images taken at di erent time may causes motions, and noises arise because of underexposure. Contrast information is low-frequency signal and edge information belongs to high-frequency part. The proposed algorithm synthesizes images based on wavelets decomposition and multi-resolution analysis.