Thermal infrared image super-resolution reconstruction evaluation method

A technology of super-resolution reconstruction and evaluation method, which is applied in the field of thermal infrared image super-resolution reconstruction evaluation, and can solve problems such as lack of pertinence

Inactive Publication Date: 2020-10-20
BEIHANG UNIV
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Similarly, thermal infrared images have their own application scenarios. Its main function is to invert the temperature of the shooting area. The quality evaluation indicators mentioned above are not specific to this application of thermal infrared images.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Thermal infrared image super-resolution reconstruction evaluation method
  • Thermal infrared image super-resolution reconstruction evaluation method
  • Thermal infrared image super-resolution reconstruction evaluation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0037] The embodiment of the present invention discloses a thermal infrared image super-resolution reconstruction evaluation method, which evaluates the performance of the super-resolution reconstruction algorithm at the thermal infrared image application level, which is mainly divided into two stages, as follows: figure 1 As shown: the first stage is to perform temperature inversion on the thermal infrared image, and convert the thermal infrared image into a t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a thermal infrared image super-resolution reconstruction evaluation method, which is used for evaluating the performance of a super-resolution reconstruction algorithm at a thermal infrared image application level, and comprises the following steps of: performing temperature inversion on a thermal infrared image at a first stage, and converting the thermal infrared image into a temperature image representing temperature; and utilizing the obtained temperature image for comparing the similarity between the temperature image of the thermal infrared image after super division and a temperature image of a real high-resolution thermal infrared image by calculating the Bhattacharyya distance of the temperature image at a second stage, and therefore evaluation can be givenon the application level of thermal infrared image temperature inversion. According to the thermal infrared image super-resolution reconstruction evaluation method, evaluation indexes of the thermalinfrared image super-resolution reconstruction algorithm are provided at the application level by utilizing the application characteristics of the thermal infrared image, so that the super-resolutionreconstruction algorithm evaluation and application are combined, the method has more practical significance, the method is not limited by the size of the image, and calculation can further be carriedout due to different sizes of temperature maps.

Description

technical field [0001] The invention relates to the technical field of digital image super-resolution reconstruction, and more specifically relates to a thermal infrared image super-resolution reconstruction evaluation method. Background technique [0002] At present, the image super-resolution reconstruction algorithm evaluates the performance of the algorithm through some image quality evaluation indicators. Commonly used reference objective evaluation indicators include peak signal-to-noise ratio (PSNR), structural similarity (SSIM), no reference evaluation index NIQE, subjective evaluation Index mean subjective score (MOS) and so on. [0003] However, the commonly used quality evaluation indicators for image super-resolution reconstruction are only evaluated from the image itself, without considering the application of the image. For different application scenarios, the selection of evaluation indicators should be inconsistent. For example, for scenes that do not pursue...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T5/40
CPCG06T3/4076G06T5/40G06T2207/10048
Inventor 张浩鹏张聪姜志国
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap