Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Kankanala Srinivas"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract This article introduces a novel FIR filter using a Radix-2r multiplier combined with 4:2 and 3:2 compressors for denoising Electrooculography (EOG) signals. This approach replaces traditional ripple-carry adders with compressors to add the p
Externí odkaz:
https://doaj.org/article/540eeb930dd04f5481fc87634c841e19
Akademický článek
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Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications.
This paper presents a novel context-based histogram bin stretching (CHBS) method, which enhances the contrast by increasing the range of gray levels and randomness among the gray levels. It comprises image spatial contextual information and discrete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc547dbf8843b69c5436a80c0edb783a
https://doi.org/10.1145/3597303
https://doi.org/10.1145/3597303
Publikováno v:
Multimedia Tools and Applications. 81:6009-6030
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb5fe391c489b711728f29ec23f8a3cc
https://doi.org/10.1007/s11042-021-11347-4
https://doi.org/10.1007/s11042-021-11347-4
Publikováno v:
Circuits, Systems, and Signal Processing. 40:5077-5105
This paper proposes a novel method of image enhancement via energy curve equalization (ECE). Histogram equalization (HE) appears to be the most straightforward method for image contrast enhancement. Many modifications are already recommended to overc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f2d5bf6332e1ac50ef047b1082e85ba
https://doi.org/10.1007/s00034-021-01711-y
https://doi.org/10.1007/s00034-021-01711-y
Publikováno v:
Journal of the Franklin Institute. 357:13941-13963
This paper presents an adaptive enhancement framework for low contrast images to improve the deteriorated details and color information. The proposed algorithm is composed of two adaptive steps: Contrast enhancement and Color restoration. Firstly, ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f345da5417f09957d69a5e52ed15271d
https://doi.org/10.1016/j.jfranklin.2020.10.013
https://doi.org/10.1016/j.jfranklin.2020.10.013
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 30:4663-4675
This paper presents a novel image contrast enhancement technique that uses exposure-based energy curve equalization (ECE) with a plateau limit. In a primary deviation from the current histogram equalization process for contrast enhancement, the propo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7a7f7025efed0d7840c21602c4f6e2e
https://doi.org/10.1109/tcsvt.2019.2960861
https://doi.org/10.1109/tcsvt.2019.2960861
Publikováno v:
IET Image Processing. 14:668-678
Low light image enhancement algorithms intent to produce visually pleasant images and target to extract valuable information for computer vision applications. The task of improving the quality of low light images is a challenging one. The existing me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f607a83937c9687b821ebe3e4ffcc7e
https://doi.org/10.1049/iet-ipr.2019.0781
https://doi.org/10.1049/iet-ipr.2019.0781
Publikováno v:
Traitement du Signal. 36:529-538
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::524abb2e0d6fc740cb83abe5a247b006
https://doi.org/10.18280/ts.360608
https://doi.org/10.18280/ts.360608
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 30
In this paper, a new context-based image contrast enhancement process using energy curve equalization (ECE) with a clipping limit has been proposed. In a fundamental anomaly to the existing contrast enhancement practice using histogram equalization,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b72a0465a9bb3af37e984d09067ed758
https://pubmed.ncbi.nlm.nih.gov/34057893
https://pubmed.ncbi.nlm.nih.gov/34057893