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Image Enhancement using a Fusion Framework of Histogram Equalization and Laplacian Pyramid

Authors
Yun, Se-HwanKim, Jin HeonKim, Suki
Issue Date
Nov-2010
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
contrast enhancement; detail enhancement; Laplacian pyramid; histogram equalization
Citation
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.56, no.4, pp.2763 - 2771
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
Volume
56
Number
4
Start Page
2763
End Page
2771
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/115481
DOI
10.1109/TCE.2010.5681167
ISSN
0098-3063
Abstract
The image enhancement methods based on histogram equalization (HE) often fail to improve local information and sometimes have the fatal flaw of over-enhancement when a quantum jump occurs in the cumulative distribution function of the histogram. To overcome these shortcomings, we propose an image enhancement method based on a modified Laplacian pyramid framework that decomposes an image into band-pass images to improve both the global contrast and local information. For the global contrast, a novel robust HE is proposed to provide a well-balanced mapping function which effectively suppresses the quantum jump. For the local information, noise-reduced and adaptively gained high-pass images are applied to the resultant image. In qualitative and quantitative comparisons through experimental results, the proposed method shows natural and robust image quality and suitability for video sequences, achieving generally higher performance when compared to existing methods(1).
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