Super-time resolution compressed sensing video reconstruction method based on progressively decreasing fractional series constraints
A time resolution and series technology, applied in the field of image processing, can solve the problems of poor reconstructed video image quality, less image details, ignoring the temporal dimension continuity of video signals, etc.
Inactive Publication Date: 2017-01-04
ZHEJIANG UNIV
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[0003] Image TV constraints are one of the most widely used constraints. For the reconstruction of 3D video signals, people initially use 2D gradient TV constraints. poor quality
The three-dimensional TV constraint increases the time dimension constraint, thereby improving the reconstruction quality, but the traditional gradient TV constraint has the problem of over-smoothing, and the reconstructed image often has less detail
Compared with the gradient TV constraint, the fractional series TV constraint can better protect the high-frequency information of the image, but there will be more noise
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[0046] The present invention will be further described below in conjunction with accompanying drawing.
[0047] The present invention provides a compressive sensing super-temporal resolution video reconstruction method based on decreasing fractional series constraints, which mainly includes two steps of establishing a constraint model and solving the reconstruction equation. The process is shown in the attached figure 1 shown.
[0048] Step 1. Build a constraint model
[0049] The high temporal resolution video reconstruction process is attached figure 2 As shown, the video signal is assumed to be a three-dimensional data volume X(x,y,l), and Φ(x,y,l) is the sampling function of each pixel at all exposure times (Φ(x,y,l)∈{ 0,1}), then the obtained observation image Y(x,y) is expressed as:
[0050] Y ( x , y ) = Σ t = 1 L Φ ...
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The invention discloses a super-time resolution compressed sensing video reconstruction method based on progressively decreasing fractional series constraints. In a super-time resolution video compression reconstruction process based on compressed sensing, the feature of high frequency information can be well preserved by fractional series constraints, and a reconstruction equation is constrained by the joint TV constraint of three-dimensional fractional series and gradient. In view that the TV constraint of the fractional series increases the noise while increasing the detail of a reconstructed video image, the fractional series decreases step by step with the increase of the iteration number, and thus the reconstructed image noise is reduced. Compared with a traditional TV-based reconstruction method, the method can better maintain the image detail without introducing noise.
Description
technical field [0001] The invention belongs to the field of image processing, and in particular relates to a super-time-resolution video reconstruction method based on decreasing fractional series constraints. Background technique [0002] The ultra-temporal resolution video reconstruction technology based on compressed sensing is to obtain encoded observation images by exposing and encoding pixels, and then use reconstruction algorithms to reconstruct the observation images to obtain a series of video sequence images, that is, to obtain 3D videos from 2D images. Time resolution extension technology. Since compressed sensing is to restore and reconstruct the sampling signal lower than the Nyquist sampling rate, the accuracy and speed of the reconstructed signal are the focus of attention. Depending on whether the signal space basis (or dictionary) is used, the reconstruction algorithm can be divided into direct solution to the signal and indirect solution to the dictionary...
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IPC IPC(8): G06T3/40G06T5/50
Inventor 冯华君唐超影陈跃庭徐之海李奇
Owner ZHEJIANG UNIV