Novel Wavelet Domain Based Adaptive Thresholding using Bat Algorithm for Image Compression

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Chiru K
Chiru K

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The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.
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Image compression is one of the significant research areas in the arena of image processing owing to its enormous number of applications and its ability to reduce the storage prerequisite and communication bandwidth. Thresholding is a kind of image compression in which computational time increases for multilevel thresholding and hence optimization techniques are applied. The quality of reconstructed image is superior when discrete wavelet transform based thresholding is used as compared to when it is not applied. Both particle swarm optimization and fire fly algorithm becomes unstable when the velocity of the particle becomes maximum and when there is no bright firefly in the search space respectively. To overcome the above mentioned drawbacks bat algorithm based thresholding in frequency domain is proposed. Echolocation is the sort of sonar used by micro-bats.

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No external funding was declared for this work.

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The authors declare no conflict of interest.

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Chiru K. 2026. \u201cNovel Wavelet Domain Based Adaptive Thresholding using Bat Algorithm for Image Compression\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 23 (GJCST Volume 23 Issue F1): .

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Image compression using wavelet thresholds and adaptive algorithms. Enhances image quality and reduces file size efficiently.
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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LCC Code: QA76.9.I48
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v1.2

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January 12, 2024

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English

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Novel Wavelet Domain Based Adaptive Thresholding using Bat Algorithm for Image Compression

Chiru K
Chiru K

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