An Improved Non-Linear Image Enhancement Method for Video Coding

Wang, Lung-Jen; Huang, Ya-Chun

doi:10.1109/cisis.2008.91

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Using the same procedure described in [8,13], the cubic B-spline filter [3,[14][15][16] with the form: [1, 4, 1]/6 and opportunity cost with image classification are used to improve the nonlinear image enhancement scheme which is shown in Fig. 4.…”

Section: Proposed Nonlinear Image Enhancementmentioning

confidence: 99%

“…The principle of opportunity cost can be used in the area of image enhancement for deciding the enhancement parameters [8]. Furthermore, the authors in [8] developed an improved nonlinear image enhancement scheme with cubic B-spline filter [3,14] and the concept of opportunity cost to identify the most suitable combination of enhancement parameters. That is, the concept of opportunity cost can be used to analyse the combination of clipping and scaling parameters for the nonlinear image enhancement method.…”

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confidence: 99%

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A Study on Opportunity Cost with Classification for Non-Linear Image Enhancement

Wang¹,

Huang²

2013

IJCSAI

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Abstract-Opportunity cost is a wide known theory in economics. The principle of opportunity cost and an effective image classification are utilized to decide the most suitable combination of clipping and scaling parameters in the nonlinear image enhancement method for various blurred images. It is also shown that this new image classification and opportunity cost for the nonlinear image enhancement method obtains a better subjective and objective performance than other nonlinear image enhancement methods for image quality.

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Section: Proposed Nonlinear Image Enhancementmentioning

confidence: 99%

mentioning

confidence: 99%

A Study on Opportunity Cost with Classification for Non-Linear Image Enhancement

Wang¹,

Huang²

2013

IJCSAI

Self Cite

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Toward an Improvement of UAV-Aerial Image Using Non-linear Image Enhancement

Wang

Hsieh

2018

2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)

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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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An Improved Non-Linear Image Enhancement Method for Video Coding

Cited by 3 publications

References 8 publications

A Study on Opportunity Cost with Classification for Non-Linear Image Enhancement

A Study on Opportunity Cost with Classification for Non-Linear Image Enhancement

Toward an Improvement of UAV-Aerial Image Using Non-linear Image Enhancement

Dynamic Non-Linear Enhancement using Gamma Correction and Dynamic Restoration

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