Work

Enhanced color image denoising using fuzzy metric-like space and peer group

Year: 2026

Type: article

Abstract: By using a fuzzy metric-like space $(\mathbb {FMLS})$ to redefine the idea of peer group, this study offers a novel chromatic filtering technique for removing outliers. The technique uses features of $\mathbb {FML}$ space to enable effective corrupted pixel detection. The suggested filtering method is intended to preserve fine image features while successfully restoring color images that have been deteriorated by excessive amounts of impulsive noise. Additionally, a switching technique is shown that, based on the results of noisy pixel detection, intelligently switches between the identification operation and Enhanced Average Filtering Technique .

Source: Scientific Reports

DOI: 10.1038/s41598-026-46589-5

Authors: Maliha Rashid, Faryad Ali, Nadia Batool, Akbar Azam

Institutions: International Islamic University, Islamabad, Imam Mohammad ibn Saud Islamic University, COMSATS University Islamabad, Grand Asian University, Sialkot

Language: English

Topic: Image and Signal Denoising Methods

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,690

OpenAlex ID: W7154285346

FWCI:

Cites: 22

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