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Journal ArticleDOI

Automatic system for improving underwater image contrast and color through recursive adaptive histogram modification

TLDR
Comparison with state-of-the-art methods shows that the proposed method produces the highest average entropy, measure of enhancement (EME), and EME by entropy with the values of 7.618, 28.193, and 6.829, respectively.
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This article is published in Computers and Electronics in Agriculture.The article was published on 2017-09-01. It has received 60 citations till now. The article focuses on the topics: Color histogram & Histogram equalization.

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Citations
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Journal ArticleDOI

Enhancement of Underwater Images With Statistical Model of Background Light and Optimization of Transmission Map

TL;DR: Comparisons with other state-of-the-art methods demonstrate that the proposed underwater image enhancement method can achieve higher accuracy of estimated BLs, lower computation time, overall superior performance, and better information retention.
Journal ArticleDOI

An Experimental-Based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging

TL;DR: Wang et al. as mentioned in this paper reviewed the image enhancement and restoration methods that tackle typical underwater image impairments, including some extreme degradations and distortions, in terms of the underwater image formation model (IFM).
Journal ArticleDOI

UIEC^2-Net: CNN-based underwater image enhancement using two color space

TL;DR: This method is the first to use HSV color space for underwater image enhancement based on deep learning and efficiently and effectively integrate both RGB Color Space and HSV Color Space in one single CNN.
Journal ArticleDOI

A Comprehensive Review of Computational Dehazing Techniques

TL;DR: This paper carries out a comprehensive review of dehazing techniques to show that these could be effectively applied in real-life practice and encourages the researchers to use these techniques for removal of haze from hazy images.
Journal ArticleDOI

Enhancing underwater image via color correction and Bi-interval contrast enhancement

TL;DR: Comparison with state-of-the-art methods show that the proposed method outputs high-quality underwater images with qualitative and quantitative evaluation well.
References
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Proceedings ArticleDOI

Enhancing underwater images and videos by fusion

TL;DR: A novel strategy to enhance underwater videos and images that derives the inputs and the weight measures only from the degraded version of the image, and supports temporal coherence between adjacent frames by performing an effective edge preserving noise reduction strategy.
Journal ArticleDOI

Underwater image processing: state of the art of restoration and image enhancement methods

TL;DR: Some of the most recent methods that have been specifically developed for the underwater environment are reviewed, capable of extending the range of underwater imaging, improving image contrast and resolution.
Journal ArticleDOI

Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy

TL;DR: The presented algorithms use the fact that the relationship between stimulus and perception is logarithmic and afford a marriage between enhancement qualities and computational efficiency to choose the best parameters and transform for each enhancement.
Journal ArticleDOI

Recovery of underwater visibility and structure by polarization analysis

TL;DR: A computer vision approach that removes degradation effects in underwater vision is presented, which inverts the image formation process for recovering good visibility in images of scenes and analyzes the noise sensitivity of the recovery.
Journal ArticleDOI

Transform-based image enhancement algorithms with performance measure

TL;DR: A new class of the "frequency domain"-based signal/image enhancement algorithms including magnitude reduction, log-magnitude reduction, iterative magnitude and a log-reduction zonal magnitude technique, based on the so-called sequency ordered orthogonal transforms, which include the well-known Fourier, Hartley, cosine, and Hadamard transforms.
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