If the contrast of an image is highly concentrated on a specific range, e.g. an image is very dark; the information may be lost in those areas which are excessively and uniformly concentrated. The problem is to optimize the contrast of an image in order to represent all the information in the input image.
In this lecture we will talk about contrast enhancement. Histogram equalization will be introduced in details. Also the state-of-the-art techniques such as singular value equalization will be introduced and discussed.
The following paper as well as the attached documents are strongly recommended to be reviewed.
Hasan Demirel, Gholamreza Anbarjafari, and Cagri Ozcinar, "Satellite Image Contrast Enhancement Using Discrete Wavelet Transform and Singular Value Decomposition", IEEE Geoscience and Remote Sensing Letter, April 2010, Vol. 7, No. 2, pp. 334-338.
The attached p-file is simulating a state-of-the-art technique called Gaussian distribution mapping based contrast enhancement.
|Gaussian Distribution Mapping||13 KB|