A
Anil Singh Parihar
Researcher at Delhi Technological University
Publications - 75
Citations - 611
Anil Singh Parihar is an academic researcher from Delhi Technological University. The author has contributed to research in topics: Computer science & Fuzzy logic. The author has an hindex of 9, co-authored 65 publications receiving 339 citations.
Papers
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Journal ArticleDOI
Fuzzy-Contextual Contrast Enhancement
TL;DR: The exhaustive experimentation and analysis show the proposed algorithm efficiently enhances contrast and yields in natural visual quality images.
Journal ArticleDOI
An Optimal Fuzzy System for Edge Detection in Color Images Using Bacterial Foraging Algorithm
TL;DR: This paper presents a fuzzy system for edge detection, using smallest univalue segment assimilating nucleus (USAN) principle and bacterial foraging algorithm (BFA) and a parametric fuzzy intensification operator (FINT) to enhance the weak edge information, which results in another fuzzy set.
Journal ArticleDOI
Contrast enhancement using entropy-based dynamic sub-histogram equalisation
TL;DR: The quantitative and visual assessment shows that the proposed algorithm outperforms most of the existing contrast-enhancement algorithms and results in natural-looking, good contrast images with almost no artefacts.
Proceedings ArticleDOI
A study on Retinex based method for image enhancement
TL;DR: This paper will discuss Single Scale Retinex (SSR), Multi-Scale RetineX (MSR), Improved Retinez Image Enhancement (IRIE), MSR improvement for night time Enhancement (MSSRINTE), and retinex Based Perceptual Contrast Enhancement in image using luminance adaptation (RBPCELA).
Journal ArticleDOI
A novel fuzzy system for edge detection in noisy image using bacterial foraging
TL;DR: A new edge detection technique is proposed to deal with the noisy image using fuzzy derivative and bacterial foraging algorithm that can detect the edges in an image in the presence of impulse noise up to 30%.