期刊名称：International Journal of Computing and Business Research
电子版ISSN：2229-6166
出版年度：2012
出版社：International Journal of Computing and Business Research
摘要：General framework based on histogram equalization for image contrast enhancement is discussed. In this framework, contrast enhancement is posed as an optimization problem that minimizes a cost function. Histogram equalization is an effective technique for contrast enhancement. However, conventional histogram equalization (HE) usually results in excessive contrast enhancement, which in turn gives the processed image an unnatural look and creates visual artifacts. By introducing specifically designed penalty terms, the level of contrast enhancement can be adjusted; noise robustness, white/black stretching and mean-brightness preservation may easily be incorporated into the optimization.
