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논문 기본 정보

자료유형
학술저널
저자정보
Joonwhoan Lee (Chonbuk National University) Suresh Raj Pant (Chonbuk National University) Hee-Sin Lee (Chonbuk National University)
저널정보
한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.15 No.1
발행연도
2015.3
수록면
35 - 44 (10page)

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초록· 키워드

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The main purpose of image enhancement is to improve certain characteristics of an image to improve its visual quality. This paper proposes a method for image contrast enhancement that can be applied to both medical and natural images. The proposed algorithm is designed to achieve contrast enhancement while also preserving the local image details. To achieve this, the proposed method combines local image contrast preserving dynamic range compression and contrast limited adaptive histogram equalization (CLAHE). Global gain parameters for contrast enhancement are inadequate for preserving local image details. Therefore, in the proposed method, in order to preserve local image details, local contrast enhancement at any pixel position is performed based on the corresponding local gain parameter, which is calculated according to the current pixel neighborhood edge density. Different image quality measures are used for evaluating the performance of the proposed method. Experimental results show that the proposed method provides more information about the image details, which can help facilitate further image analysis.

목차

Abstract
1. Introduction
2. Proposed Image Enhancement Technique
3. Experimental Result
4. Conclusions
References

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UCI(KEPA) : I410-ECN-0101-2016-028-001346839