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COMPARISON OF IMAGE ENHANCEMENT METHODS FOR CHROMOSOME KARYOTYPE IMAGE ENHANCEMENT

open access: yesJurnal Ilmu Komputer dan Informasi, 2017
The chromosome is a set of DNA structure that carry information about our life. The information can be obtained through Karyotyping. The process requires a clear image so the chromosome can be evaluate well.
Dewa Made Sri Arsa   +5 more
doaj   +3 more sources

Color image enhancement [PDF]

open access: bronzeProceedings 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.
Kuei-Chun Chen
openaire   +3 more sources

Priori Knowledge Makes Low-Light Image Enhancement More Reasonable [PDF]

open access: yesSensors
This paper presents a priori knowledge-based low-light image enhancement framework, termed Priori DCE (Priori Deep Curve Estimation). The priori knowledge consists of two key aspects: (1) enhancing a low-light image is an ill-posed task, as the ...
Zefei Chen   +4 more
doaj   +2 more sources

Rapid Contrast Enhancement Algorithm for Natural Contrast- Distorted Color Images [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2021
Digital images are often obtained with contrast distortions due to different factors that cannot be avoided on many occasions. Various research works have been introduced on this topic, yet no conclusive findings have been made.
Asmaa Albakri, Zohair Al-Ameen
doaj   +1 more source

Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2022
As the quality of optical sensors improves, there is a need for processing large-scale images. In particular, the ability of devices to capture ultra-high definition (UHD) images and video places new demands on the image processing pipeline.
Tao Wang   +5 more
semanticscholar   +1 more source

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement [PDF]

open access: yesComputer Vision and Pattern Recognition, 2020
The paper presents a novel method, Zero-Reference Deep Curve Estimation (Zero-DCE), which formulates light enhancement as a task of image-specific curve estimation with a deep network.
Chunle Guo   +6 more
semanticscholar   +1 more source

PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators [PDF]

open access: yesIEEE Transactions on Image Processing, 2023
Due to the light absorption and scattering induced by the water medium, underwater images usually suffer from some degradation problems, such as low contrast, color distortion, and blurring details, which aggravate the difficulty of downstream underwater
Runmin Cong   +6 more
semanticscholar   +1 more source

Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model [PDF]

open access: yesIEEE International Conference on Computer Vision, 2023
In this paper, we rethink the low-light image enhancement task and propose a physically explainable and generative diffusion model for low-light image enhancement, termed as Diff-Retinex.
Xunpeng Yi   +4 more
semanticscholar   +1 more source

Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding [PDF]

open access: yesIEEE Transactions on Image Processing, 2021
Underwater images suffer from color casts and low contrast due to wavelength- and distance-dependent attenuation and scattering. To solve these two degradation issues, we present an underwater image enhancement network via medium transmission-guided ...
Chongyi Li   +5 more
semanticscholar   +1 more source

U-Shape Transformer for Underwater Image Enhancement [PDF]

open access: yesIEEE Transactions on Image Processing, 2021
The light absorption and scattering of underwater impurities lead to poor underwater imaging quality. The existing data-driven based underwater image enhancement (UIE) techniques suffer from the lack of a large-scale dataset containing various underwater
Lintao Peng, Chunli Zhu, Liheng Bian
semanticscholar   +1 more source

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