Title:
IMAGE INTERPOLATION MODEL TRAINING METHOD BASED ON RESIDUAL-GUIDED POLICY
Document Type and Number:
WIPO Patent Application WO/2023/000526
Kind Code:
A1
Abstract:
An image interpolation model training method based on a residual-guided policy, an image interpolation method based on a residual-guided policy, a computer device, and a readable storage medium. On the basis of characteristics of a random forest level structure, the residual-guided policy is used to construct and train the image interpolation model. A pre-interpolated image is used as feature data, and a residual is used as label data to train a random forest; the random forest grows synchronously according to levels in the training process; an initial residual is a difference between a high-resolution image and the pre-interpolated image, and a later residual is a difference between an upper-level residual and an estimated residual; because the residual can be updated in iteration, the estimated residual of each level is the optimization of the previous-level residual; an image residual is converged to zero along with the increase of a training level; and finally, the image interpolation model with the determined mapping relationship of each level is obtained. A good interpolation effect can be obtained by using the image interpolation model to interpolate the low-resolution image.
Inventors:
ZHONG BAOJIANG (CN)
SU RUN (CN)
SU RUN (CN)
Application Number:
PCT/CN2021/125577
Publication Date:
January 26, 2023
Filing Date:
October 22, 2021
Export Citation:
Assignee:
UNIV SOOCHOW (CN)
International Classes:
G06T3/40; G06T5/00; G06T5/50
Foreign References:
| CN108447020A | 2018-08-24 | |||
| CN109564677A | 2019-04-02 | |||
| CN109741255A | 2019-05-10 | |||
| US20080239143A1 | 2008-10-02 |
Other References:
LIU ZHEN-PENG, SU NAN;QIN YI-WEN;LU JIA-HUAN;LI XIAO-FEI: "FS-CRF:Outlier Detection Model Based on Feature Segmentation and Cascaded Random Forest", COMPUTER SCIENCE, vol. 47, no. 8, 2 July 2020 (2020-07-02), CN , pages 185 - 188, XP093027367, ISSN: 1002-137X, DOI: 10.11896/jsjkx.190600162
Attorney, Agent or Firm:
UNITALEN ATTORNEYS AT LAW (CN)
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