Supercharge Your Innovation With Domain-Expert AI Agents!

A recovery method used for a plurality of images with saturated pixel scenes

A pixel and image technology, applied in the design of computer imaging, can solve the problems of image restoration, inaccurate estimation, poor restoration effect, etc., and achieve good restoration effect, clear and accurate image restoration results, and rich details

Inactive Publication Date: 2015-09-23
ZHEJIANG UNIV
View PDF3 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These methods are mainly based on a single image, and have certain suppression for saturated pixels. However, in practical applications, it is often necessary to restore the image when the blur kernel is unknown.
However, when a single image has saturated pixels and blind restoration is used, due to the existence of saturated pixels, the estimation of the blur kernel will also be inaccurate, resulting in poor restoration effect.

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
  • A recovery method used for a plurality of images with saturated pixel scenes
  • A recovery method used for a plurality of images with saturated pixel scenes
  • A recovery method used for a plurality of images with saturated pixel scenes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The present invention will be further described below with reference to the accompanying drawings and a specific example. It should be noted that the fuzzy kernel in the simulation process such as Figure 7 Although a~c are known, they are only for clear images for comparison when comparing the results, and the blur kernel does not need to be known when using the invented simulation algorithm.

[0028] refer to figure 1 , the algorithm flow steps of the present invention are as follows:

[0029] Step 1: Input blurred image

[0030] Such as figure 2 As shown, select a clear night scene image with saturated pixels. To test the results of the algorithm, three different blur kernels are simulated on sharp images. blur kernel such as Figure 7 a~c respectively correspond to image 3 The blur kernel of the blurred image from a to c. Because the gray level of the simulated clear image is 0-255, it is equivalent to that the saturated pixels have been cut off, so the bl...

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 recovery method used for a plurality of images with saturated pixel scenes. Existing image recovery methods with consideration of saturated pixels are all based on a single image, and the recovery effect is not stable. When a plurality of images are shoot in a same scene, as for fuzzy images with the saturated pixels, more image information can be utilized in recovery. Multi-frame image recovery can better inhibit ring effect brought about by the saturated pixels than single-image recovery to a certain extent. Meanwhile, the algorithm takes consideration of the saturated pixels to obtain better recovery effects. The invention can be applied to deblurring of night scene images obtained in a continuous capture mode or deblurring of high dynamic range panorama images which have overlap areas in a shooting process. Compared with method in the prior art, the method of the invention is advantaged by a better recovery effect.

Description

technical field [0001] The invention relates to the technical field of computer imaging, and in particular mainly relates to the image processing problem of restoring a clear image from multiple blurred images of the same scene. Background technique [0002] The field of image restoration has always been a research hotspot in the field of image processing. In daily photography, we often encounter insufficient lighting. At this time, in order to make the imaging device achieve normal exposure, it is necessary to increase the exposure time or increase the sensitivity. The ensuing negative effects are image blur caused by hand-held camera shake due to increased exposure time, or increased image noise and poor image quality due to increased sensitivity. In addition, a tripod can also be used to stabilize the camera, but the tripod is inconvenient to carry and is not suitable for daily shooting. [0003] The imaging process of the camera can be described as the convolution of t...

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
IPC IPC(8): G06T5/50
Inventor 叶鹏钊冯华君徐之海李奇陈跃庭
Owner ZHEJIANG UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More