An architecture-based framework for enhancing medical image compression using dyadic wavelet filters and context adaptive encoding with matrix-based post-processing

Medical image compression is popular due to increasing memory storage needs, promoting effective transmission and guaranteeing the preservation of diagnostic data without sacrificing patient care. Image compression is defined as the process of reducing the number of bits without losing the quality a...

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Veröffentlicht in:	AIP advances Jg. 15; H. 9; S. 095323 - 095323-10
Hauptverfasser:	Sophia D, Linett, Kavitha S
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Melville American Institute of Physics 01.09.2025 AIP Publishing LLC
Schlagworte:	Arithmetic coding Binary codes Compression ratio Image compression Image quality Medical imaging Signal to noise ratio
ISSN:	2158-3226, 2158-3226
Online-Zugang:	Volltext
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