article

Recursive sub-image histogram equalization applied to gray scale images

Authors:

Y. Y. TanAuthors Info & Claims

Pattern Recognition Letters, Volume 28, Issue 10

Pages 1209 - 1221

https://doi.org/10.1016/j.patrec.2007.02.003

Published: 01 July 2007 Publication History

Abstract

A novel recursive sub-image histogram equalization (RSIHE) is developed to overcome the drawbacks of generic histogram equalization (HE) for gray scale images. Compared to some of the conventional HE methods, such as bi-histogram equalization and recursive mean-separate histogram equalization, the proposed RSIHE method yields better image compensation. The scanning electron microscope images are used as test images to evaluate the efficiency of the developed algorithm. The algorithm is implemented in software with a frame grabber card, forming the front-end video capture element.

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Cited By

Yadav PGupta BLamba S(2024)Exposure-Based contrast enhancement method for low contrast Images using the entropy curveProceedings of the 2024 6th International Conference on Image, Video and Signal Processing10.1145/3655755.3655763(61-66)Online publication date: 14-Mar-2024
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Rivera-Aguilar BCuevas EPérez MCamarena ORodríguez A(2024)A new histogram equalization technique for contrast enhancement of grayscale images using the differential evolution algorithmNeural Computing and Applications10.1007/s00521-024-09739-236:20(12029-12045)Online publication date: 1-Jul-2024
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Index Terms

Recursive sub-image histogram equalization applied to gray scale images
1. Computing methodologies

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Published In

cover image Pattern Recognition Letters

Pattern Recognition Letters Volume 28, Issue 10

July, 2007

151 pages

ISSN:0167-8655

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Copyright © Elsevier B.V. © 2007.

Publisher

Elsevier Science Inc.

United States

Publication History

Published: 01 July 2007

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Cited By

Yadav PGupta BLamba S(2024)Exposure-Based contrast enhancement method for low contrast Images using the entropy curveProceedings of the 2024 6th International Conference on Image, Video and Signal Processing10.1145/3655755.3655763(61-66)Online publication date: 14-Mar-2024
https://dl.acm.org/doi/10.1145/3655755.3655763
Rivera-Aguilar BCuevas EPérez MCamarena ORodríguez A(2024)A new histogram equalization technique for contrast enhancement of grayscale images using the differential evolution algorithmNeural Computing and Applications10.1007/s00521-024-09739-236:20(12029-12045)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1007/s00521-024-09739-2
Wu JWu SSun B(2024)An adaptive methodology for rock mass fracture image enhancement with generalized gamma correctionThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-023-03100-940:8(5201-5217)Online publication date: 1-Aug-2024
https://dl.acm.org/doi/10.1007/s00371-023-03100-9
Srinivas KBhandari A(2023)Context-Based Novel Histogram Bin Stretching Algorithm for Automatic Contrast EnhancementACM Transactions on Multimedia Computing, Communications, and Applications10.1145/359730319:6(1-22)Online publication date: 12-Jul-2023
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Fang XLi HZhang SZhang JWang CWang XMa ZJia H(2023)Integration of ROV and vision-based underwater inspection for Limnoperna fortunei in water conveyance structureEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.106575124:COnline publication date: 1-Sep-2023
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Choukali MValizadeh MAmirani MMirbolouk S(2023)A desired histogram estimation accompanied with an exact histogram matching method for image contrast enhancementMultimedia Tools and Applications10.1007/s11042-023-14830-282:18(28345-28365)Online publication date: 27-Feb-2023
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Hum YTee YYap WMokayed HTan TSalim MLai K(2022)A contrast enhancement framework under uncontrolled environments based on just noticeable differenceImage Communication10.1016/j.image.2022.116657103:COnline publication date: 1-Apr-2022
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