Unlock instant, AI-driven research and patent intelligence for your innovation.

A synthesis-based endoscopic video deblurring method

A deblurring and endoscopic technology, applied in the field of image processing, can solve problems such as unsatisfactory effects, and achieve the effects of convenient subsequent processing and improved reliability.

Active Publication Date: 2021-06-29
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Most of the existing deblurring algorithms are for ordinary images, and the effect for special videos such as endoscopic videos is not very ideal.

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 synthesis-based endoscopic video deblurring method
  • A synthesis-based endoscopic video deblurring method
  • A synthesis-based endoscopic video deblurring method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] Such as figure 1 As shown, in this embodiment, a method for deblurring endoscopic video based on synthesis is used to deblur the blurred frames in the number of video frames, and use a grid-based alignment algorithm to align the blurred frames in the number of video frames through the grid. The clear frame is divided into several rectangular blocks. Under the common constraints of the vertices of multiple rectangular blocks, the alignment of the blurred frame and the clear frame is realized by calculating the multiple homography matrices corresponding to the multiple rectangular blocks, and then the blurred frame is re-synthesized by the DPM algorithm. frames to make blurry frames clear. This scheme proposes a grid-based parameter-free motion estimation model, which improves the robustness of the gastroscope image alignment algorithm, and restores the blurred frame by using the clear frame adjacent to the blurred frame, which is conducive to finding the most similar ima...

Embodiment 2

[0037] On the basis of the foregoing embodiments, in this embodiment, a method for deblurring endoscopic video based on synthesis includes the following steps:

[0038] Step S1: Input the endoscopic video t(x, y), the endoscopic video t(x, y) contains several video frames, assuming that the Nth frame is the fuzzy frame to be processed, select the fuzzy frame to be processed f (x, y), in frames N-10 to N+10, select a frame adjacent to the fuzzy frame f(x, y) with the best image quality as the clear frame g(x, y).

[0039] Step S2: Initialize parameters.

[0040] Step S3: Align the sharp frame g(x, y) to the blurred frame f(x, y) using a grid-based alignment algorithm. Using the grid-based alignment algorithm, the non-rigid inner surface of the human stomach can be better simulated, and the distortion of the image can be effectively reduced, thereby improving the image quality after blurred frame restoration. It includes the following steps:

[0041] Step S31: if figure 2 A...

Embodiment 3

[0060] Such as figure 2 As shown, on the basis of the above embodiment, in this embodiment, in the step S31, when estimating the motion vector, it is judged whether the image in the region belongs to the texture-rich type, and if so, the Surf image feature points are selected to estimate the motion vector, such as figure 2 As shown in (c), . Conversely, if the image in this area is not rich in texture but a homogeneous area, use the optical flow point to estimate the motion vector, such as figure 2 (b) shown.

[0061] In this embodiment, the feature points of the Surf image are extracted by using the Surf feature point extraction algorithm. The Surf feature point extraction algorithm is a very famous and classic feature point extraction method in the field of image processing and computer vision. Surf is the abbreviation of Speeded Up Robust Features. Proposed by Hebert Bay in 2008. In the implementation of this algorithm, the algorithm is directly called to extract th...

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 an endoscopic video deblurring method based on synthesis, which deblurs the blurred frames in the video frames, uses a grid-based alignment algorithm, and divides the clear frames in the video frames into Several rectangular blocks, under the joint constraints of multiple rectangular block vertices, realize the alignment of blurred frames and clear frames by calculating multiple homography matrices corresponding to multiple rectangular blocks, and then re-synthesize the blurred frames through the DPM algorithm to make the blurred The frame becomes clear. The beneficial effects of the present invention are: this solution can perform deblurring processing on the endoscope video, thereby recovering the blurred part in the endoscope video, thereby improving the reliability of clinical diagnosis, and making the endoscope video or image more accurate. Subsequent processing is more convenient.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a synthesis-based endoscopic video deblurring method. Background technique [0002] There are many reasons for blurred images, such as optical factors, motion factors, human factors, etc., most of which are objective or uncontrollable factors. Therefore, the image deblurring algorithm is of great significance in real life. [0003] With the development of society, due to greater work pressure and faster pace of life, most people are in a sub-healthy state. The prevalence of digestive tract diseases, especially stomach diseases, remains high all year round. At present, endoscopic surgery is the most direct and effective way to diagnose gastrointestinal diseases. However, in the process of surgical intubation, due to the movement of the lens caused by the operation of the surgeon, the peristalsis and contraction of the gastrointestinal wall, and the large shake of the lens caused...

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 Patents(China)
IPC IPC(8): G06T5/00G06T5/50G06T7/215G06T7/38G06T7/223
CPCG06T5/50G06T7/215G06T7/223G06T7/38G06T2207/30168G06T2207/30092G06T2207/20221G06T2207/10068G06T2207/10016G06T2207/20021G06T5/73
Inventor 刘帅成彭凌冰何志伟曾兵
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA