Low Complexity and Low Memory Compression Algorithm for Hyperspectral Image Sensors

被引：0
作者：
Shrish Bajpai
机构：
[1] Integral University,Electronics and Communication Engineering Department, Faculty of Engineering and Information Technology
[2] Uttar Pradesh,undefined
来源：
Wireless Personal Communications | 2023年 / 131卷
关键词：
Transform coding; Hyperspectral data compression; Image coding; Rate-distortion; Complexity;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The 3D-zero memory set partitioned embedded block (3D-ZM-SPECK) is an embedded and memory-efficient compression algorithm. Through, the 3D-ZM-SPECK does not require any coding memory, but testing of the sets for each bit-plane increases the complexity significantly which led a big constrain for the low resource HS image sensors. The proposed HS image compression algorithm is the low complexity solution of 3D-ZM-SPECK which reduces the recursive significance test of sets. Simulation results demonstrate that the proposed 3D-M-ZM-SPECK significantly reduces the complexity by ~ 25% with the other state of art HS image compression algorithms. Thus, it is a viable option for the HS image sensors.
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页码：805 / 833
页数：28
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