ArticleScientific reports2023
Enhancement of various images using coefficients obtained from a class of Sakaguchi type functions.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Estimation of Hankel inequalities of symmetric starlike functions in crescent-shaped domains and their application in image processing.Scientific reports · 2025Article
- Enhancing low-light images using Sakaguchi type function and Gegenbauer polynomial.Scientific reports · 2024Article
- Image edge detection enhancement using coefficients of Sakaguchi type functions mapped onto petal shaped domain.Heliyon · 2024Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Digital image processing has a wide range of uses, including robotics and automated inspection of industrial parts. Other uses include remote sensing using satellites and other spacecraft, image transmission and storage for business applications, medical processing, and Acoustic image processing. The process of highlighting particular intriguing features in a hidden image is known as image enhancement. We can accomplish this by altering the brightness, contrast, etc. The generated output is more suitable than the original image for some particular purposes. The proposed algorithm which is based on the convolution of coefficient bounds of a subclass [Formula: see text] obtained using Mittag-Leffler type Poisson Distribution is tested on three image data sets with different dimensions and image formats (PNG, JPEG, TIFF, etc.) and its PSNR, SSIM, MSE, RMSE, PCC and MAE values are observed to check the quality of the enhanced images.
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Registered trials
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