Nonlinear transfer function-based local approach for color image enhancement

Ghimire, Deepak; Lee, Joonwhoan

doi:10.1109/tce.2011.5955233

Cited by 47 publications

(33 citation statements)

References 14 publications

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“…The local contrast of an image should be preserved which affects the overall visual contrast [14,18]. The condition that preserves the local contrast is described below.…”

Section: Local Image Contrast Preserving Dynamic Range Compressionmentioning

confidence: 99%

“…In order to address this problem, the local image contrast preserving dynamic range compression method is used to preserve the local image contrast based on the luminance ratio of the surrounding pixels [13][14][15][16][17]. As imaging information significantly affects the enhancement result, the image processing procedure to be applied should be carefully considered.…”

Section: Introductionmentioning

confidence: 99%

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An Adaptive Histogram Equalization Based Local Technique for Contrast Preserving Image Enhancement

Lee

Pant

Lee

2015

Int. J. Fuzzy Log. Intell. Syst.

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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.

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“…The local contrast of an image should be preserved which affects the overall visual contrast [14,18]. The condition that preserves the local contrast is described below.…”

Section: Local Image Contrast Preserving Dynamic Range Compressionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Adaptive Histogram Equalization Based Local Technique for Contrast Preserving Image Enhancement

Lee

Pant

Lee

2015

Int. J. Fuzzy Log. Intell. Syst.

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“…Deepak Ghimire and Joonwhoan Lee ," Nonlinear Transfer Function-Based Local Approach for Color Image Enhancement,"2011 [2] proposed a method in which the image enhancement was applied only on the V (luminance value) component of the HSV color image and H and S component were kept unchanged to prevent the degradation of color balance between HSV components. The V channel was enhanced in two steps.…”

Section: Literature Reviewmentioning

confidence: 99%

Image Enhancement Techniques: A Selected Review

Nancy¹

2013

IOSR-JCE

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“…There are two techniques for image enhancement one is spatial domain and second is transform domain methods. In spatial domain method [9] an image is enhance by straight dealing with the intensity value in an image. In transform domain enhancement method it transforms the image intensity data into a specific domain by using different techniques like DFT, DCT, etc.…”

Section: Introductionmentioning

confidence: 99%

“…The main idea for using this technique is to improve the image quality by manipulating the transform coefficients. The main drawbacks of the transform-based image enhancement techniques are: they establish assured artifacts, they cannot concurrently enhance all pixels of the image properly and it is very hard to computerize the image enhancement procedure [9] [6]. Color image enhancement plays a vital role in Digital Image Processing.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Non-Linear Enhancement using Gamma Correction and Dynamic Restoration

Singh¹,

Banga²

2014

IJCA

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This paper has proposed a new integrated image enhancement algorithm by integrating non linear image enhancement technique with dynamic restoration. Image processing plays a vital role in visualization application. It improves the visibility of poor images. Different techniques have been proposed so far. To improve image quality image enhancement can selectively enhance and restrain some information about image. It is a method which decreases image noise, eliminate artifacts, and maintain details. Its purpose is to amplify certain image features for analysis, diagnosis and display. The overall objective of this paper is to propose an integrated technique which will integrate the nonlinear enhancement technique with the gamma correction and dynamic restoration technique. The proposed algorithm is implemented in MATLAB. Experimental results have shown quite significant results over the available methods.

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Nonlinear transfer function-based local approach for color image enhancement

Cited by 47 publications

References 14 publications

An Adaptive Histogram Equalization Based Local Technique for Contrast Preserving Image Enhancement

An Adaptive Histogram Equalization Based Local Technique for Contrast Preserving Image Enhancement

Image Enhancement Techniques: A Selected Review

Dynamic Non-Linear Enhancement using Gamma Correction and Dynamic Restoration

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