Journal ArticleDOI
Optical remote sensing image enhancement with weak structure preservation via spatially adaptive gamma correction
TLDR
Results on real low-contrast optical remote sensing images demonstrate that the proposed image enhancement scheme outperforms the state-of-the-arts in terms of brightness improvement, contrast enhancement, and detail preservation.About:
This article is published in Infrared Physics & Technology.The article was published on 2018-11-01. It has received 66 citations till now. The article focuses on the topics: Gamma correction.read more
Citations
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Journal ArticleDOI
Joint Analysis and Weighted Synthesis Sparsity Priors for Simultaneous Denoising and Destriping Optical Remote Sensing Images
TL;DR: This work proposes a unified variational framework, called a joint analysis and weighted synthesis (JAWS) sparsity model, to simultaneously separate the clean image and the stripe from a single optical remote sensing image.
Journal ArticleDOI
Unidirectional variation and deep CNN denoiser priors for simultaneously destriping and denoising optical remote sensing images
Zhenghua Huang,Zhenghua Huang,Yaozong Zhang,Qian Li,Zhengtao Li,Tianxu Zhang,Nong Sang,Shiqi Xiong +7 more
TL;DR: Deep convolutional neural network denoiser prior is integrated into unidirectional variation model, named as UV-DCNN, to simultaneously destripe and denoise optical remote sensing images, which can be efficiently solved by the alternating minimization optimization method.
Journal ArticleDOI
Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization
TL;DR: In contrast limited dynamic quadri-histogram equalization (CLDQHE) as mentioned in this paper, the original histogram of an image is divided by a threshold scheme into four sub-histograms.
Journal ArticleDOI
Robust contact-point detection from pantograph-catenary infrared images by employing horizontal-vertical enhancement operator
TL;DR: An efficient contact-point detection (CPD) scheme to detect contact-points from these complex infrared images, including the following three key components, including an improved RANSAC strategy, is presented.
Journal ArticleDOI
Facial expression recognition method with multi-label distribution learning for non-verbal behavior understanding in the classroom
TL;DR: A new infrared facial expression recognition method with multi-label distribution learning for understanding non-verbal behavior in the classroom and a new deep network with Cauchy distribution-based label learning (CDLLNet), instead of the conventional single expression labels.
References
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Journal ArticleDOI
Making a “Completely Blind” Image Quality Analyzer
TL;DR: This work has recently derived a blind IQA model that only makes use of measurable deviations from statistical regularities observed in natural images, without training on human-rated distorted images, and, indeed, without any exposure to distorted images.
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Lightness and Retinex Theory
Edwin H Land,John J. McCann +1 more
TL;DR: The mathematics of a lightness scheme that generates lightness numbers, the biologic correlate of reflectance, independent of the flux from objects is described.
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A multiscale retinex for bridging the gap between color images and the human observation of scenes
TL;DR: This paper extends a previously designed single-scale center/surround retinex to a multiscale version that achieves simultaneous dynamic range compression/color consistency/lightness rendition and defines a method of color restoration that corrects for this deficiency at the cost of a modest dilution in color consistency.
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Properties and performance of a center/surround retinex
TL;DR: A practical implementation of the retinex is defined without particular concern for its validity as a model for human lightness and color perception, and the trade-off between rendition and dynamic range compression that is governed by the surround space constant is described.
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Naturalness Preserved Enhancement Algorithm for Non-Uniform Illumination Images
TL;DR: Experimental results demonstrate that the proposed enhancement algorithm can not only enhance the details but also preserve the naturalness for non-uniform illumination images.