The Impact of Image Enhancement and Transfer Learning Techniques on Marine Habitat Mapping

SHAKER, Ehab; BAKER, Mohammed; MAHMOOD, Zuhair

doi:10.35378/gujs.973082

Cited by 1 publication

(1 citation statement)

References 43 publications

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“…It is mainly the new version of regular HE which major purpose is to preserve rightness and avoid false coloring. This technique divides the input image histogram into two subparts (Shaker, Baker, & Mahmood, 2022). The division is achieved by the average intensity of all the pixels that is to be the input mean brightness value of all pixels which current in the input image.…”

Section: Brightness Preserving Bi-histogram Equalization (Bbhe)mentioning

confidence: 99%

A comparative Study of Image Enhancement Techniques for Natural Images

Ismael

2022

J. Al-Qadisiyah Comp. Sci. Math.

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Enhancement is most interesting parts in image processing field. It uses to enhance the structural appearance for picture without the degradation in the original input image. The enhancement techniques become the important key and simply extraction features by removing noise and another items inside an image. Several enhancement techniques have achieved with different and inaccurate results. The aim of this paper, the nature images quality was improved by the many enhancement techniques like of Histogram Equalization (HE), Local Histogram Equalization (LHE), Adaptive Histogram Equalization (AHE), Contrast Limited Adaptive Histogram Equalization (CLAHE), Brightness Preserving Bi-Histogram Equalization (BBHE), Dualistic Sub-Image Histogram Equalization (DSIHE) and Recursive sub-image histogram equalization (RSIHE). In evaluation step, the performance of all these techniques are examined by values measurements of SSIM (Structural Similarity Index Matrix), Entropy, Peak Signal-to-Noise Ratio (PSNR) and Signal to Noise Ratio (SNR). The comparisons of the better existing results are given because to explain the best possible technique that can be used as suitable image enhancement. The results of the enhanced of 15 nature images have showed DSIHE technique has a batter a values of SSIM and Entropy with 0.9885 and 59975 respectively. Overall, based on the PSNR and SNR values, the CLAHE technique are recorded values higher than of other six techniques in 21.2952 and 192932 values.

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Section: Brightness Preserving Bi-histogram Equalization (Bbhe)mentioning

confidence: 99%

A comparative Study of Image Enhancement Techniques for Natural Images

Ismael

2022

J. Al-Qadisiyah Comp. Sci. Math.

View full text Add to dashboard Cite

show abstract

The Impact of Image Enhancement and Transfer Learning Techniques on Marine Habitat Mapping

Cited by 1 publication

References 43 publications

A comparative Study of Image Enhancement Techniques for Natural Images

A comparative Study of Image Enhancement Techniques for Natural Images

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