Very Low-Memory Wavelet Compression Architecture Using Strip-Based Processing for Implementation in Wireless Sensor Networks. (13th December 2009)

• Record Type: Journal Article
• Authors: Chew, Li Wern; Chia, Wai Chong; Ang, Li-minn; Seng, Kah Phooi
• Other Names: Granado Bertrand Academic Editor.
• Is Part Of: EURASIP journal on embedded systems. Volume 2009(2009)
• Publication Date: 2009-12-13
• Subjects: Embedded computer systems -- Periodicals; Systèmes enfouis (Informatique); Embedded computer systems; Periodicals; Electronic journals; 006.22
• DOI: 10.1155/2009/479281
• Languages: English
• ISSNs: 1687-3955

Abstract

Abstract : This paper presents a very low-memory wavelet compression architecture for implementation in severely constrained hardware environments such as wireless sensor networks (WSNs). The approach employs a strip-based processing technique where an image is partitioned into strips and each strip is encoded separately. To further reduce the memory requirements, the wavelet compression uses a modified set-partitioning in hierarchical trees (SPIHT) algorithm based on a degree-0 zerotree coding scheme to give high compression performance without the need for adaptive arithmetic coding which would require additional storage for multiple coding tables. A new one-dimension (1D) addressing method is proposed to store the wavelet coefficients into the strip buffer for ease of coding. A softcore microprocessor-based hardware implementation on a field programmable gate array (FPGA) is presented for verifying the strip-based wavelet compression architecture and software simulations are presented to verify the performance of the degree-0 zerotree coding scheme.