A Study of Bayesian Inference Framework for Image Contrast Enhancement

博士 === 國立交通大學 === 電子工程學系 電子研究所 === 101 === In this dissertation, an efficient Bayesian framework is proposed for image contrast enhancement. Starting from the image acquisition pipeline process, we model the image enhancement problem as a Maximum A Posteriori (MAP) estimation problem. The goal of MA...

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Bibliographic Details
Main Authors: Jen, Tzu-Cheng, 任慈澄
Other Authors: Wang, Sheng-Jyh
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/55152444884366898038