RGB-Based Compressed Medical Imaging Using Sparsity Averaging Reweighted Analysis for Wireless Capsule Endoscopy Images

RGB-Based Compressed Medical Imaging Using Sparsity Averaging Reweighted Analysis for Wireless Capsule Endoscopy Images

Compressed medical imaging (CMI) is a medical image sampling process with several samples lower than the Nyquist-Shannon sampling theorem for efficient image sampling; therefore, speeds up the processing time of medical applications. In comparison to previous approaches focusing on single-layer imag...

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Autores principales: Rita Magdalena, Tariq Rahim, I Putu Agus Eka Pratama, Ledya Novamizanti, I Nyoman Apraz Ramatryana, Aamir Younas Raja, Soo Young Shin
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
Materias:
Compressed imaging
RGB-based
reweighted analysis
sparsity averaging
wireless capsule endoscopy
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Acceso en línea:https://doaj.org/article/b2827c88c9b44316a742fec22d7a6d6f
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https://doaj.org/article/b2827c88c9b44316a742fec22d7a6d6f

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