Enhanced RGB-Based Basis Pursuit Sparsity Averaging Using Variable Density Sampling for Compressive Sensing of Eye Images

Enhanced RGB-Based Basis Pursuit Sparsity Averaging Using Variable Density Sampling for Compressive Sensing of Eye Images

Compressive sensing (CS) plays a critical role in sampling, transmitting, and storing the color medical image, i.e., magnetic resonance imaging, colonoscopy, wireless capsule endoscopy, and eye images. Although CS for medical images has been extensively investigated, a challenge remains in the recon...

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Bibliographic Details
Main Authors: Gandeva Bayu Satrya, I. Nyoman Apraz Ramatryana, Ledya Novamizanti, Soo Young Shin
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Compressive sensing
sparsity averaging
basis pursuit
color eye image
Online Access:https://ieeexplore.ieee.org/document/9996363/

Internet

https://ieeexplore.ieee.org/document/9996363/

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