Energy efficient lossless image compression with prediction-based transform

Image processing for compression is an area that has been widely explored especially after microprocessors and modern digital networks which has enabled large traffic between various electronic components. Images have become the preferred form of communication and needs to be compressed for efficient transmission. A lossless energy efficient image compression method is presented in this paper where the image is divided into quadrants. The remaining three quadrants are predicted based on the first quadrant and the error is calculated. The resulting first quadrant and the three error quadrants are compressed using Huffman coding. It is proposed to utilize multi-level processing of the image for high compression ratio. The overall power consumption for TIC6414 processor is estimated using CPU cycle count.