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Method for Determining Multiple Reference Images in Group Image Coding

A reference image and image encoding technology, applied in the field of image processing, can solve the problems of insufficient utilization of correlation, inability to greatly reduce storage space and transmission bandwidth, and insufficient improvement of image encoding efficiency, so as to reduce storage space and transmit data. Quantity, coding efficiency improvement, and the effect of strong correlation

Active Publication Date: 2020-09-22
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The above methods all use a single reference image in image coding, and do not make full use of the correlation between images in the image set. The improvement of image coding efficiency is not high enough, and the storage space and transmission bandwidth cannot be greatly reduced.

Method used

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  • Method for Determining Multiple Reference Images in Group Image Coding
  • Method for Determining Multiple Reference Images in Group Image Coding
  • Method for Determining Multiple Reference Images in Group Image Coding

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Experimental program
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Embodiment 1

[0036] In the existing group image coding, a single reference image is used for coding, the degree of utilization of the correlation between multiple images in the image set is not high, and the improvement of coding efficiency is limited. Determination method of multiple reference images in species population image coding.

[0037] A group image is an image set. A large number of images are divided into some collections containing multiple images, that is, an image set. Coding for multiple image sets is group image coding. Each image set represents a set of group images. Each image set has a tree diagram of image coding order and reference images, called the image set coding structure.

[0038] The present invention is a method for determining multiple reference images in group image coding, see figure 1 , assuming that the coding sequence and reference images of all images in the L-th layer in the image set coding structure are not determined, to determine the coding seque...

Embodiment 2

[0053] The method for determining multiple reference images in group image coding is the same as in embodiment 1, see figure 2 and image 3 In step (2) of the present invention, the process of searching multiple reference images with feature point matching method includes the following steps:

[0054] (2.1) If there are still images with undetermined encoding order in the L-th layer image of the image set coding structure, then go to step (2.2) to search for reference images; otherwise, all reference images of L-th layer images with undetermined encoding order have been searched After completion, go to step (3) to judge the reference image.

[0055] (2.2) Select an image in the undetermined encoding sequence image of the L layer as the target image, first extract all SIFT feature points of the target image, and record it as the feature point set U; the set U contains the target image itself. All feature points.

[0056] (2.3) Then add the parent node image of the target im...

Embodiment 3

[0064] The method for determining multiple reference images in group image coding is the same as in embodiment 1-2, and the three conditions described in step (2) are respectively:

[0065] Preset ratio threshold: The preset ratio threshold rC is set according to the matching of multiple reference images and target image SIFT feature points, and the value range is 00 The proportion of the feature point set U of the target image r 0 Whether it is greater than or equal to the preset ratio threshold rC;

[0066] Number of preset reference images: The number of preset reference images t is determined according to the correlation between images in the image set, t is a positive integer greater than or equal to 1, and the maximum value is the number of all images in the image set; the correlation between images in the image set The greater the resistance, the greater the value that can be set for t. When the number of reference images t is set to 1, it corresponds to the case of a ...

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Abstract

The invention discloses a method of determining multiple reference images in group image coding, so as to solve the problem of not thoroughly using correlation among images to improve the coding efficiency. With an L layer as an example, the method comprises steps: an image set HE with an already-known coding sequence is built; a feature point matching method is used for searching multiple reference images in all images in the L layer in the HE and the L-layer images; images belonging to the HE in the reference images are added to the HE; whether images whose coding sequences are not determined exist in the L layer is judged; if yes, searching and replacement are carried out on the reference images; images with the minimum average weight in the images whose coding sequences are not determined after replacement are added to the HE; if the reference images in the L layer are determined already, and related information of the L-layer images is outputted; and the above steps are recycled to complete determination on reference images of all layers in the group image and the coding sequence. The experiment proves that the correlation among images is thoroughly used, and the coding efficiency is improved obviously. Massive image storage and transmission are facilitated, and the method is used for personal photo album compression, computer vision and cloud image storage.

Description

technical field [0001] The invention belongs to the technical field of image processing, and further relates to the determination of multiple reference images, in particular to a method for determining multiple reference images in group image coding, which can be used for personal album compression, computer vision, and cloud image storage. Background technique [0002] With the advancement and development of mobile communication equipment and photographing technology, people can take pictures and upload them anytime and anywhere, resulting in an explosive growth of images on the network and increasing the cost of image storage and management. In order to improve coding efficiency and reduce storage management cost, group image coding is proposed as a new method. Because the redundancy that can be mined in the image is still very large, especially for the situation where the content relationship between images is strong, and group image coding can make better use of these co...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/33G06T9/00
CPCG06T7/33G06T9/00
Inventor 吴炜李梦华刘炯冯磊
Owner XIDIAN UNIV
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