Group image coding method based on quadratic fitting luminosity transform

Abstract

The invention provides a group image coding method based on quadratic fitting luminosity transform, aiming at reducing the bit number of group image coding. The group image coding method based on quadratic fitting luminosity transform includes the steps: acquiring SIFT (Scale-invariant feature transform) matching points and SIFT matching distance between every two images in a image-to-be-coded set; acquiring a minimal span tree of the image-to-be-coded set; calculating a perspective transform matrix H between each pair of reference images and a target image to be coded in the minimal span tree; performing geometry deformation on the reference images on the minimal span tree of the image-to-be-coded set; performing quadratic fitting luminosity transform on a plurality of images after geometry deformation; acquiring YUV code streams corresponding to the reference images; and performing block-based motion compensation coding on the target image to be coded. The group image coding method based on quadratic fitting luminosity transform fully utilizes the redundancy information among images, can effectively reduce the group image coding bit number, can improve the group image coding efficiency, and can be used for personal photo 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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