Single-exposure high-dynamic range image generation method adapted to medical image

A high dynamic range and image generation technology, applied in the field of medical image processing, can solve the problems of complex image acquisition and block effect, and achieve the effect of easy exposure, bright colors and improved contrast

Inactive Publication Date: 2017-03-22
TIANJIN UNIV
View PDF4 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, there have been many researches on high dynamic range image generation methods. For example, Mann and Picard first used multiple images with different exposure times to generate HDR images. Goshtasby et al. proposed an image fusion algorithm based on optimal blocks, but it is easy to produce Block effect, Mertens et al proposed an image fusion algorithm based on Laplacian pyramid, Li et al proposed an image fusion algorithm based on discrete wavelet
However, the above methods all use multiple pictures with different exposures, and the acquisition of pictures is more complicated.

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
  • Single-exposure high-dynamic range image generation method adapted to medical image
  • Single-exposure high-dynamic range image generation method adapted to medical image
  • Single-exposure high-dynamic range image generation method adapted to medical image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0051] 1) Use images that generate 5 pseudo-exposures, namely:

[0052] k=0~4, L smax =382.5, EV k =(-1,-0.5,0,0.5,1),P k = (1.6, 1.3, 1, 0.85, 0.75), N = 5, σ = 0.2, ω C = ω S = ω E =1.

[0053] 2) Then according to formulas (1) to (6), the generated high dynamic range image can be obtained when the image is a single-exposure image.

[0054] 3) Synthesis result:

[0055] Table 1. Input and output image indicators

[0056] Attached picture figure 2 (a) figure 2 (b) image 3 (a) image 3 (b) information entropy 7.4501 7.3437 7.5213 7.8417

[0057] figure 2 (a) and image 3 (a) is an input image, a medical image, and figure 2 (b) and image 3 (b) are the high dynamic range images synthesized by this method. Through subjective observation, it can be found that compared with the input image, the contrast of the synthesized high dynamic range image is improved, and the details are clearer and the color is brighter. , which is more in ...

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 single-exposure high-dynamic range image generation method adapted to a medical image. The method comprises the steps that 1) images of different exposure are generated on the basis of reverse tone mapping, and a reverse tone mapping function is modeled; 2) according to a pseudo-exposure HDR image generated in the first step, a weight graph of the image is obtained on the basis of a pyramid decomposed multi-exposure image fusion algorithm; 3) Laplacian pyramid decomposition is carried out on a sequence of N multi-exposure images, Gaussian pyramid decomposition is carried out on N weight graphs, and images and weight graphs of different resolutions are obtained, and a fusion formula is obtained; and finally, Laplacian inverse transformation is carried out on a pyramid L{R}l to obtain a fused image R. Thus, an HDR image synthesized by input image is obtained. Compared with an original image, the synthesized HDR image is higher in contrast, more distinct in colors, and more reinforced in details; a fusion algorithm is low in computational complexity; and high dynamic range image generation can be realized in real time.

Description

technical field [0001] The invention relates to the technical field of medical image processing, in particular to a single-exposure high dynamic range image generation method adapted to medical images. Background technique [0002] Medical imaging refers to the technology and processing process of obtaining internal tissue images of the human body or a certain part of the human body in a non-invasive manner for medical treatment or medical research. It includes the following two relatively independent research directions: medical imaging system and medical image processing. The former refers to the process of image formation, including the research on imaging mechanism, imaging equipment, imaging system analysis and other issues; the latter refers to the further processing of the obtained image, the purpose of which is to restore the original image that is not clear enough , or to highlight some feature information in the image, or to classify the pattern of the image and s...

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): G06T5/50
CPCG06T5/50G06T2207/10016G06T2207/10024G06T2207/20016G06T2207/20208G06T2207/20221
Inventor 张淑芳刘孟娅
Owner TIANJIN 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