Adaptive Edge-based Image Contrast Enhancement using Multi Sub-Histogram Analysis

Arifin, Agus Zainal; Wiratmo, Agung; Setiawan, Yohanes; Muttaqi, Muhammad Mirza; Indraswari, Rarasmaya; Navastara, Dini Adni

doi:10.1109/icts.2019.8850970

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2022

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“…There exists pervasive literature on the topic of image enhancement level implementation. An approach proposed by [5] was employed in this work, which uses a histogram splitting technique called a bi-histogram that focuses on edge-based image contrast. This technique may likely produce poor bi-histogram separation results due to various modality image histograms.…”

Section: Related Workmentioning

confidence: 99%

Enhancement of Digital Stereo Vision Images based on Histogram and Gamma Correction Strategy

Kadmin¹

2022

eijs

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Image contrast enhancement methods have been a topic of interest in digital image processing for various applications like satellite imaging, recognition, medical imaging, and stereo vision. This paper studies the technique for image enhancement utilizing Adaptive Histogram Equalization and Weighted Gamma Correction to cater radiometric condition and illumination variations of stereo image pairs. In the proposed method, the stereo pair images are segmented together with weighted distribution into sub-histograms supported with Histogram Equalization (HE) mapping or gamma correction and guided filtering. The experimental result shows the experimented techniques outperform compare with the original image in evaluation parameters of visual quality and image enhancement parameters via Entropy, MSE, and PSNR, etc. taken for performance analysis and validation.

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Section: Related Workmentioning

confidence: 99%

Enhancement of Digital Stereo Vision Images based on Histogram and Gamma Correction Strategy

Kadmin¹

2022

eijs

View full text Add to dashboard Cite

show abstract

Adaptive Edge-based Image Contrast Enhancement using Multi Sub-Histogram Analysis

Cited by 1 publication

References 10 publications

Enhancement of Digital Stereo Vision Images based on Histogram and Gamma Correction Strategy

Enhancement of Digital Stereo Vision Images based on Histogram and Gamma Correction Strategy

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