Title :
Energy efficient lossless image compression with prediction-based transform
Author :
Eratne, Savithra ; Puthenpurayil, Sebastian ; John, Eugene
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at San Antonio, San Antonio, TX
fDate :
Nov. 30 2008-Dec. 3 2008
Abstract :
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.
Keywords :
Huffman codes; data compression; image coding; CPU cycle count; Huffman coding; TIC6414 processor; compression ratio; digital networks; electronic components; energy efficient lossless image compression; microprocessor; multilevel processing; power consumption; prediction-based transform; three error quadrants; Data processing; Energy consumption; Energy efficiency; Fast Fourier transforms; Huffman coding; Image coding; Image processing; Microprocessors; Pixel; Wavelet transforms;
Conference_Titel :
Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-4244-2341-5
Electronic_ISBN :
978-1-4244-2342-2
DOI :
10.1109/APCCAS.2008.4746030