Title :
DCT Coefficient Prediction for JPEG Image Coding
Author_Institution :
Texas Tech Univ., Lubbock
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
The JPEG baseline algorithm follows a block-based coding approach and therefore, it does not explore source redundancy at the sub-block level. This note explores correlation between adjacent rows (or columns) at the block boundaries for predicting DCT coefficients of the first row/column of DCT blocks. Experimental results show that our prediction method reduces the average JPEG DC residual by about 75% for images compressed at the default quality level. The same for AC01/10 coefficients is about 30%. It reduces the final code bits by about 4.55% of the total image code for grey images. Our method can be implemented as a part of the JPEG codec without requiring any changes to its control structure or to its code stream syntax.
Keywords :
codecs; data compression; discrete cosine transforms; image coding; prediction theory; transform coding; DCT coefficient prediction; JPEG baseline algorithm; JPEG codec; block-based coding; discrete cosine transform; grey images; image coding; image compression; Codecs; Discrete cosine transforms; Frequency; Image coding; MPEG 4 Standard; Pixel; Prediction methods; Redundancy; Streaming media; Transform coding; DCT; Image coding; JPEG; prediction methods;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379986