Wavelet domain light field full-focus image generation algorithm

An all-focus image and generation algorithm technology, which is applied in the field of all-focus image fusion, can solve problems such as local noise, limited set resolution, and low image contrast, and achieve the effect of avoiding block effects and improving image fusion quality

Active Publication Date: 2019-03-08
TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
View PDF4 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention aims to provide a wavelet-based Domain light field all-focus image generation algorithm. This algorithm realizes light field all-focus image generation by establishing high-frequency coefficient area equalization Laplacian operator and low-frequency coefficient pixel visibility function, and effectively realizes light field original data. Transformation to fully focused image, and the quality of image fusion is improved compared with traditional algorithms

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
  • Wavelet domain light field full-focus image generation algorithm
  • Wavelet domain light field full-focus image generation algorithm
  • Wavelet domain light field full-focus image generation algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In order to make the objects, features and advantages of the present invention more comprehensible, specific implementations of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0031] Such as figure 1 As shown, the specific process of this algorithm is:

[0032] Step 1) The original image of the light field is decoded to obtain a 4D light field, and a different α is selected n (n=1,2,3...), using digital refocusing technology to obtain refocused images of different spatial depths

[0033] Step 2) Calculate the wavelet high and low frequency sub-images of each frame of the refocused image

[0034] Step 3) The high and low frequency sub-images adopt BL operator and PV function respectively as the image fusion definition evaluation index to realize the fusion of high and low frequency coefficients;

[0035] Step 4) Finally, the fused all-focus image is obtained through wavelet inverse transformation.

[0036] ...

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

A wavelet domain light field full-focus image generation algorithm belongs to the field of full-focus image fusion, the invention effectively avoids the block effect of the traditional spatial light field image fusion algorithm, high quality fully focused image of light field is obtained. Through spatial transformation and projection of 4D light field data obtained by microlens array light field camera, a multi-focus image for full-focus image fusion is obtained, a wavelet decomposition method for extracting multi-focus images of each frame is high, low frequency sub-image set. A domain equilibrium Laplace operator is proposed, the pixel visibility function constructs the high of the fusion image respectively, low-frequency wavelet coefficients realize image fusion, Its performance is superior to the traditional region definition evaluation function, and the experiment verifies the correctness and effectiveness of the method provided by the invention, and adopts the original data of the Lytro light field camera to calculate the fused fully-focused image. Compared with the traditional image fusion algorithm, the human visual effect is better, and the objective image index is also improved.

Description

technical field [0001] The invention belongs to the field of all-focus image fusion, in particular to an algorithm for generating an all-focus image in a wavelet domain light field. Background technique [0002] With the rise of new disciplines of computational photography and the development of light field imaging theory, light field cameras have become a hot spot in many fields at home and abroad in the past decade. Compared with the traditional camera, the microlens light field camera adds a microlens array behind the main lens to simultaneously record the position and direction information of the spatial light. The recording of multi-dimensional light field information facilitates the post-image processing and application of the light field camera, such as digital refocusing, all-focus image generation and depth information calculation using the light field camera. Light field cameras can calculate refocused images at any depth in space after taking a single photo, whic...

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): G06T5/50G06T7/00
CPCG06T5/50G06T7/0002G06T2207/10052G06T2207/20221G06T2207/30168
Inventor 武迎春谢颖贤李素月赵贤凌王安红
Owner TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY
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