A General Rate-Distortion Optimization Method for Block Compressed Sensing of Images

A General Rate-Distortion Optimization Method for Block Compressed Sensing of Images

Block compressed sensing (BCS) is a promising technology for image sampling and compression for resource-constrained applications, but it needs to balance the sampling rate and quantization bit-depth for a bit-rate constraint. In this paper, we summarize the commonly used CS quantization frameworks...

Full description

Bibliographic Details
Main Authors: Qunlin Chen, Derong Chen, Jiulu Gong
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Entropy
Subjects:
data acquisition
compressed sensing
rate-distortion
optimal bit-depth
bit-rate
quantization
Online Access:https://www.mdpi.com/1099-4300/23/10/1354

Internet

https://www.mdpi.com/1099-4300/23/10/1354

Similar Items