What question did this study set out to answer?

The research aims to develop an advanced filtering method to effectively remove impulsive noise from color images while maintaining image detail.

April 16, 2026Scientific Reports0 citationsOpen Access

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

MRMaliha RashidInternational Islamic University, Islamabad FAFaryad AliImam Mohammad ibn Saud Islamic University NBNadia BatoolCOMSATS University Islamabad

Key Points

The research aims to develop an advanced filtering method to effectively remove impulsive noise from color images while maintaining image detail.
Redefined peer group concept using fuzzy metric-like space for noise detection.
Application of chromatic filtering techniques to improve noisy pixel identification.
Implementation of a switching technique to optimize between operations based on detected noise.
Successfully detected and filtered out light-impulsive noise from color images.
Preserved detail in images better than traditional methods.
Demonstrated effective restoration of heavily degraded color images.

Abstract

By using a fuzzy metric-like space (FMLS) to redefine the idea of peer group, this study offers a novel chromatic filtering technique for removing outliers. The technique uses features of 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.

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