Interpolation-based impulse noise removal
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Date
Authors
Journal Title
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Volume Title
Publisher
Inst Engineering Technology-Iet
Access Rights
info:eu-repo/semantics/openAccess
Abstract
Interpolation-Based Impulse Noise Removal (IBINR), a fast and simple algorithm is proposed to remove fixed valued impulse noise in this study. The proposed method removes all noisy pixels from the image and determines their values using non-linear interpolation. Compared with the state-of-the-art noise removal algorithms, IBINR has the highest or comparable performance in terms of photographic image denoising power and resource efficiency: it runs in shorter amount of time and does not have any significant additional memory requirements due to the fact that costly sorting operations are avoided.
Description
Keywords
image denoising, impulse noise, interpolation, photography, interpolation-based impulse noise removal algorithm, IBINR, nonlinear interpolation, photographic image denoising power term, resource efficiency, memory requirement
Journal or Series
Iet Image Processing
WoS Q Value
Scopus Q Value
Volume
7
Issue
8










