Crowd image coding method based on quadratic fitting photometric transformation

Abstract

The present invention proposes a group image coding method based on quadratic fitting photometric transformation, aiming at reducing the number of bits of group image coding, the implementation steps are: obtaining SIFT matching points and SIFT matching distances between two images in the image set to be coded ; Obtain the minimum spanning tree of the image set to be encoded; calculate the perspective transformation matrix H between each pair of reference images and the target encoding image in the minimum spanning tree; perform geometric deformation on the reference image in the minimum spanning tree of the image set to be encoded; After a geometric deformation, the image is subjected to quadratic fitting photometric transformation; the YUV code stream corresponding to the reference image is obtained; and the target coded image is subjected to block-based motion compensation coding. The invention makes full use of redundant information between images, effectively reduces the number of coding bits of group images, improves the coding efficiency of group images, and can be used for personal album compression, cloud image storage, and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a group image coding method, in particular to a group image coding method based on quadratic fitting photometric transformation, which can be used for compression of personal photo albums and cloud image collections. Background technique [0002] At present, with the development of technology, people often take pictures and send them to the network for storage, resulting in a geometric increase in the number of images on the network, and the cost of image storage continues to increase. The traditional technology encodes and stores these images in the form of a single sheet. Common formats include JPEG, TIF, etc. Although the storage is convenient, it also causes the disadvantages of large storage space and low encoding efficiency. In order to reduce the number of stored bits, improve image compression coding efficiency, and reduce storage costs, group image coding is propo...

AI Technical Summary

Problems solved by technology

However, the photometric transformation used in this method is a simple linear fitting, which is not accurate enough for the photometric transformation, so that the photometric difference between the image after each photometric transformation and the target image is relatively large, and there are still many redundant information, resulting in Afterwards, the number of bits encoded using block-based motion compensation becomes larger, and the encoding efficiency of the image set is lower

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