Low-complexity low-memory energy-efficient image coding for wireless image sensor networks

ABSTRACT

Wireless image sensor networks are capable of sensing, processing and transmitting the image in hard-to-access regions without expensive network infrastructure and will have great contribution in Internet of Things. These networks are resource constraint systems with limited memory, energy, processing speed and bandwidth. Low computational energy and communication energy will improve the lifetime of these resource-limited networks. In this paper, an energy-efficient low-memory and low-bitrate image coding is designed exclusively for low-power camera-equipped sensor node. The performance of the proposed image coder is analysed in terms of bitrate, image quality, memory size and energy consumption. Experiments are carried out with Atmel ATmega128 processor. The experimental results show that this system consumes only 0.23% of energy consumed by true Discrete Cosine Transform-based Joint Photographic Experts Group (JPEG) standard and offers reasonable image quality suitable for visual perception at low bitrate. This system requires only 19% of memory required by standard JPEG.

KEYWORDS:

• BinDCT
• image compression
• transform
• coding
• Golomb–Rice Code

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes on contributors

G. Suseela is a Ph.D. research scholar at School of Computing Science and Engineering, VIT University, Chennai, Tamil Nadu, India. She holds B.E., and M.Tech degrees in Computer Science and Engineering. Prior to her full-time research she was working as an assistant professor at SRM University, Chennai, Tamil Nadu, India. Her areas of research include wireless image sensor network, image processing and network security.

Y. Asnath Victy Phamila holds M.E. and Ph.D. degree in Computer Science and Engineering from Anna University, India. Her research area includes image processing, wireless sensor networks, network security and cyber physical systems. She has around 13 years of academic and 3 years of industry experience. She has around 25 research papers to her credit. She also serves as a reviewer in reputed journals.

ORCID

G. Suseela http://orcid.org/0000-0002-9162-7444

Y. Asnath Victy Phamila http://orcid.org/0000-0002-5030-1165