Coding Rate Control Algorithm of Truncation Prediction Based on Statistical Model
Zhang Ye · Jisuanji gongcheng · 2008
Most computation in JPEG2000 is redundant and it has substantial impact on compression speed of satellite remote sensing image.Coding rate control algorithm truncation prediction of remote sensing image based on statistical model is proposed to alleviate this problem.Thealgorithm establishes statistical model to predict optimal rate-distortion slope as the threshold of tile1 encoding, and the threshold can be adjustedadaptively according to the length of encoded stream.An approximate optimal slope threshold is obtained, on the basis of which tile2 encodingsearches for optimal rate-distortion slope and optimal truncation point to realize rate control.Experimental result shows that the proposed algorithmcan effectively reduce the encoding time, and it is reduced by 40% at the 0.5 bpp bit-rate comparing with JasPer, while the PSNR of thereconstructed images almost is not reduced.