Image compression algorithm based on automatic extracted ROI

Abstract

An region of interesting compression algorithm of still image is introduced. The algorithm that is based on embedded block coding with optimized truncation (EBCOT) encodes the interested region of the image. According to the character of image edge, an improved canny edge detection algorithm is proposed before the wavelet transform, without the participation of automatic extraction of artificial region-of-interest (ROI) by using the dilation and erosion operation in morphology. The ROI coding algorithms is analyzed. ROI information can be encoded with high priority at the same time by constructing a weighted function, giving reasonable weight for ROI code block, and reducing the wavelet coefficients effect on the context region of the ROI code block. The proposed method improves the quality of the reconstructed image of ROI. Experiments show that the reconstructed ROI image quality is significantly improved under low bit rate or high, and the reconstructed image background region (BG) quality can be also improved.