期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2014
卷号：5
期号：1
页码：55
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Image enhancement is one of the most important issues in low-level image processing. The goal of imageenhancement is to improve the quality of an image such that enhanced image is better than the originalimage. Conventional Histogram equalization (HE) is one of the most algorithms used in the contrastenhancement of medical images, this due to its simplicity and effectiveness. However, it causes theunnatural look and visual artefacts, where it tends to change the brightness of an images. The HistogramBased Fast Enhancement Algorithm (HBFE) tries to enhance the CT head images, where it improves thewater-washed effect caused by conventional histogram equalization algorithms with less complexity. Itdepends on using full gray levels to enhance the soft tissues ignoring other image details. We present amodification of this algorithm to be valid for most CT image types with keeping the degree of simplicity.Experimental results show that The Modified Histogram Based Fast Enhancement Algorithm (MHBFE)enhances the results in term of PSNR, AMBE and entropy. We use also the Statistical analysis to ensurethe improvement of the proposed modification that can be generalized. ANalysis Of VAriance (ANOVA) isused as first to test whether or not all the results have the same average. Then we find the significantimprovement of the modification.
关键词：Histogram equalization (HE); Contrast enhancement; Histogram Based Fast Enhancement Algorithm;(HBFE); CT image; Modified Histogram Based Fast Enhancement Algorithm (MHBFE); ANalysis Of;VAriance (ANOVA)
