Low Energy Lossless Image Compression Algorithm for Wireless Sensor Network (LE-LICA)

The energy consumption restricts the design of image compression algorithms in Wireless Sensor Network (WSN). The tradeoff between the decompressed image quality and energy consumption should be considered in the design. The field of image processing introduced many image compression algorithms for WSN. Joint Photographic Experts Group 2000 (JPEG2000) and Absolute Moment Block Truncation Coding (AMBTC) are examples of these algorithms. This tradeoff is considered in the design of the proposed algorithm to get Lossless image compression algorithm with a high compression rate. LE-LICA is compared with the traditional algorithms using popular metrics such as: Peak Signal to Noise Ratio (PSNR), Correlation Coefficient (CC), and energy consumption. The proposed algorithm enhances both the image quality and the energy consumption. A great challenge to reconstruct an image at the sink without lossless (the best quality) and low energy consumption at the sensor node. The results show the preference of the proposed algorithm to the others