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Super-resolution reconstruction quality evaluation method and apparatus thereof

A technology for super-resolution reconstruction and evaluation methods, which is applied in image analysis, image data processing, instruments, etc., and can solve problems such as subjective errors, different human visual sensitivities, and inaccurate spatial resolution of images

Active Publication Date: 2017-04-19
THE PLA INFORMATION ENG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a method and device for evaluating the quality of super-resolution reconstruction, which is used to solve the problem that due to the difference in visual sensitivity of the human eye and the difference in detection conditions, the spatial resolution through manual interpretation will introduce different degrees of subjective errors. As a result, the spatial resolution of the obtained image is inaccurate, and it is difficult to reach a consensus on the evaluation results

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  • Super-resolution reconstruction quality evaluation method and apparatus thereof
  • Super-resolution reconstruction quality evaluation method and apparatus thereof
  • Super-resolution reconstruction quality evaluation method and apparatus thereof

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Embodiment 1

[0029] Such as figure 1 As shown, the embodiment of the present application provides a method for evaluating the quality of super-resolution reconstruction, and the execution body of the method may be a terminal device, such as a computer, a mobile phone, etc., or a server. The method specifically may include the following steps:

[0030] In step S101, an image to be processed whose image resolution is smaller than a predetermined resolution threshold is acquired.

[0031] Wherein, the image resolution may be the number of pixels included in the image in units of inches. The resolution threshold can be set according to the actual situation, such as 320x240 or 800x480. The image to be processed can be a remote sensing image, a video image, or an image produced according to its purpose (such as a hierarchical frequency conversion rectangular raster image, etc.).

[0032]In practice, spatial resolution is the smallest size of spatial detail that can be resolved in an image. A...

Embodiment 2

[0042] Such as figure 2 As shown, the embodiment of the present application provides a method for evaluating the quality of super-resolution reconstruction, and the execution body of the method may be a terminal device or a server. Specifically, it can include the following:

[0043] Since the spatial resolution can be obtained in various ways, and the images to be processed can be different under different acquisition methods, the embodiment of the present application takes the acquisition of the spatial resolution based on the cut-off frequency rule of the modulation transfer function as an example to describe in detail. The situation of obtaining the spatial resolution in other manners or methods may be implemented with reference to the embodiments of the present application, and details are not repeated here.

[0044] In step S201 , a step-by-step rectangular raster image with a contrast higher than a predetermined contrast threshold is obtained.

[0045] Wherein, the c...

Embodiment 3

[0107] The above is a method for evaluating the quality of super-resolution reconstruction provided by the embodiment of the present application. Based on the same idea, the embodiment of the present application also provides a device for evaluating the quality of super-resolution reconstruction, such as Figure 7 shown.

[0108] The evaluation device of the super-resolution reconstruction quality can be a computer device such as a terminal device or a server, and can also be set in a computer device such as a terminal device or a server. The device includes: an image acquisition module 701 to be processed, an image reconstruction module 702 and an evaluation module 703, wherein,

[0109] The image-to-be-processed acquisition module 701 is configured to acquire an image to be processed whose image resolution is smaller than a predetermined resolution threshold.

[0110] The image reconstruction module 702 is configured to perform image reconstruction on the image to be proces...

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Abstract

The invention discloses a super-resolution reconstruction quality evaluation method and an apparatus thereof. The method comprises the following steps of acquiring an image to be processed, wherein an image resolution of the image is less than a predetermined resolution threshold; according to a predetermined super-resolution reconstruction rule, carrying out image reconstruction on the image to be processed and acquiring a reconstructed image; and according to the image to be processed and an image frequency of the reconstructed image, acquiring spatial resolutions of the image to be processed and the reconstructed image respectively, and evaluating super-resolution reconstruction quality of the reconstructed image based on the spatial resolutions of the image to be processed and the reconstructed image. Through the method, a subjective error caused by the spatial resolutions which are acquired through a subjective mode of manual interpretation can be avoided so that accuracy of the spatial resolution of the image is increased; and an evaluated method is uniform, an evaluated result does not depend on a user and the evaluated result is objective and accurate.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method and device for evaluating the quality of super-resolution reconstruction. Background technique [0002] How to obtain high-resolution images is one of the key problems faced by aerospace and medical fields. In addition to developing higher-resolution remote sensors from the hardware aspect, how to improve the spatial resolution of the acquired images from the software aspect has become an important research issue, and the super-resolution reconstruction technology is proposed to improve the spatial resolution of the acquired images. Resolution provides a way. [0003] There are various super-resolution reconstruction techniques, and a common method to test the reconstruction effect is to effectively evaluate the super-resolution reconstruction quality of the reconstructed image (ie, the reconstructed image). Usually, the evaluation of super-resolution recon...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T3/40
CPCG06T3/4053G06T7/0002G06T2207/10004G06T2207/30168
Inventor 童晓冲郭从洲时文俊李贺秦志远李文武田园赖广陵丁璐
Owner THE PLA INFORMATION ENG UNIV
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