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Color image enhancement

Proceedings of the 30th annual Southeast regional conference on - ACM-SE 30, 1992
Color image enhancement is becoming an increasingly important research area. This paper reviews some image enhancement techniques developed specifically for gray-images and presents an extension and application to color images of a method that involves the decomposition of an image into background and texture components.
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Enhancement of MR images

1996
We propose a modification of Wells' et. al. technique for bias field estimation and segmentation of MR images. Replacement of the class other that includes all tissue not modeled explicitly by Gaussians with small variance by a uniform probability density, and amending the EM algorithm appropriately, gives significantly better results.
Régis Guillemaud, Michael Brady 0001
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Image Filtering Enhancement

2018
With the development of science and technology, mankind has entered the information age. Image has become the main source of human access to information. However, in the actual process of image signal transmission, the loss and damage of data packet are inevitable due to the physical defects of the channel, which lead to a serious decline in the ...
Zhen Guo   +3 more
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Image enhancement and restoration

1975
The aim of collecting data is to gain meaningful information about a phenomenon of interest. Unfortunately, often the phenomenon is not a direct physical observable. Instead, e.g., the data at hand may be a linear superposition of the desired quantities.
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Image detection and enhancement

Applied Optics, 1981
An optimal filtering approach is taken to the problem of detecting and enhancing a photographic image immersed in background or noise. The minimum mean square error criterion is shown to be not relevant to the optical employment of the Wiener filter.
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Better Than Reference in Low-Light Image Enhancement: Conditional Re-Enhancement Network

IEEE Transactions on Image Processing, 2022
Chunhui Wang, Xiaoguang Di, Yu Zhang
exaly  

Low-Light Image and Video Enhancement Using Deep Learning: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Chen Change Loy   +2 more
exaly  

Underwater Image Enhancement via Minimal Color Loss and Locally Adaptive Contrast Enhancement

IEEE Transactions on Image Processing, 2022
Sam Tak-Wu Kwong   +2 more
exaly  

An Underwater Image Enhancement Benchmark Dataset and Beyond

IEEE Transactions on Image Processing, 2020
Wenqi Ren   +2 more
exaly  

Underwater image enhancement: a comprehensive review, recent trends, challenges and applications

Artificial Intelligence Review, 2021
Mukesh Patil   +2 more
exaly  

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