Non-Exhaustive Search Method for Fractal Image Compression

Abedellatif, Heba; Taha, Taha E.; El-Shanawany, R.; El‐Samie, Fathi E. Abd; Zahran, O.

doi:10.1109/iceem52022.2021.9480381

2021 International Conference on Electronic Engineering (ICEEM) 2021

DOI: 10.1109/iceem52022.2021.9480381

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Non-Exhaustive Search Method for Fractal Image Compression

Heba Abedellatif

Taha E. Taha

R. El-Shanawany

et al.

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2024

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Multiparent Fractal Image Coding-Based Methods for Salt-and-Pepper Noise Removal

LIANG,

LI,

et al. 2024

Fractals

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Salt-and-pepper noise consists of outlier pixel values which significantly impair image structure and quality. Multiparent fractal image coding (MFIC) methods substantially exploit image redundancy by utilizing multiple domain blocks to approximate the range block, partially compensating for the information loss caused by noise. Motivated by this, we propose two novel image restoration methods based on MFIC to remove salt-and-pepper noise. The first method integrates Huber M-estimation into MFIC, resulting in an improved anti-salt-and-pepper noise robust fractal coding approach. The second method incorporates MFIC into a total variation (TV) regularization model, including a data fidelity term, an MFIC term and a TV regularization term. An alternative iterative method based on proximity operator is developed to effectively solve the proposed model. Experimental results demonstrate that these two proposed approaches achieve significantly enhanced performance compared to traditional fractal coding methods.

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Multiparent Fractal Image Coding-Based Methods for Salt-and-Pepper Noise Removal

LIANG,

LI,

et al. 2024

Fractals

View full text Add to dashboard Cite

show abstract

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Non-Exhaustive Search Method for Fractal Image Compression

Cited by 1 publication

References 13 publications

Multiparent Fractal Image Coding-Based Methods for Salt-and-Pepper Noise Removal

Multiparent Fractal Image Coding-Based Methods for Salt-and-Pepper Noise Removal

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