Method for encoding and decoding JPEG2000 image based on vision potential attention target area

Abstract

The invention discloses a method for effectively encoding and decoding a JPEG2000 image based on a vision potential attention target area. The method comprises the following steps of: before the image is encoded, dividing the image into a plurality of Tile blocks based on the potential target area of different attentions and pre-assigning corresponding target code rates according to vision potential attention target area extraction technology; and then carrying out code stream organization and packaging to realize image compression through quantization, adaptive wavelet transformation, and a bit plane encoding and arithmetic encoder code word reset mechanism on the basis of potential attention target area quality layer code rate control. When network band width is insufficient, the image reconstruction quality of a more-concerned target area can be exchanged at the expense of part of code rates of the target area with smaller potential attention; simultaneously, retractable high-efficiency image encoding and decoding technology is combined with a qualified content based on the potential attention target area.

Description

technical field [0001] The invention belongs to the field of image encoding and decoding, and is a novel JPEG2000 image encoding and decoding method based on visual latent attention target area. Background technique [0002] With the gradual integration of technologies such as the Internet, telecommunication networks, and mobile communications, the increasing demand for Internet and broadband wireless digital media services has greatly promoted the theoretical and applied research on scalable information compression and its reliable transmission. A large number of experiments have proved that when the human eye browses an image, its fixation point will produce the sequence of visual attention allocation due to the intensity of attention in the potential target area, that is, a jumping of fixation point caused by attention. process. At the same time, due to the non-uniform sampling physiological mechanism of human vision, human beings have different degrees of density of vis...

AI Technical Summary

Problems solved by technology

From the perspective of JPEG2000 technology, a typical representative of static image compression technology, its image compression algorithm only distributes the code rate set by the user evenly to each image slice (Tile block), and does not take into account the content attention in the image. difference, the bit rate cannot be allocated according to the visual attention of the image content

This makes the reconstructed image unable to adapt to the characteristics of human vision that assigns different attention to different a

Images