Over-enhancement Reduction in Local Histogram Equalization using its Degrees of Freedom

02/02/2009
by   Alireza Avanaki, et al.
0

A well-known issue of local (adaptive) histogram equalization (LHE) is over-enhancement (i.e., generation of spurious details) in homogenous areas of the image. In this paper, we show that the LHE problem has many solutions due to the ambiguity in ranking pixels with the same intensity. The LHE solution space can be searched for the images having the maximum PSNR or structural similarity (SSIM) with the input image. As compared to the results of the prior art, these solutions are more similar to the input image while offering the same local contrast. Index Terms: histogram modification or specification, contrast enhancement

READ FULL TEXT
research
12/31/2008

Exact Histogram Specification Optimized for Structural Similarity

An exact histogram specification (EHS) method modifies its input image t...
research
01/15/2021

Image Enhancement using Fuzzy Intensity Measure and Adaptive Clipping Histogram Equalization

Image enhancement aims at processing an input image so that the visual c...
research
09/14/2022

Reflectance-Guided, Contrast-Accumulated Histogram Equalization

Existing image enhancement methods fall short of expectations because wi...
research
09/14/2022

Reflectance-Oriented Probabilistic Equalization for Image Enhancement

Despite recent advances in image enhancement, it remains difficult for e...
research
07/11/2013

Contrast Enhancement And Brightness Preservation Using Multi- Decomposition Histogram Equalization

Histogram Equalization (HE) has been an essential addition to the Image ...
research
06/23/2011

Fingerprint: DWT, SVD Based Enhancement and Significant Contrast for Ridges and Valleys Using Fuzzy Measures

The performance of the Fingerprint recognition system will be more accur...
research
06/29/2018

Mammographic Image Enhancement using Digital Image Processing Technique

Abstract PURPOSES this study aims to perform microcalsification detectio...

Please sign up or login with your details

Forgot password? Click here to reset