Blind reconstruction method for video sequence

A video sequence and image reconstruction technology, applied in the field of fuzzy kernel function identification technology, can solve problems such as the unknown degradation process

Inactive Publication Date: 2011-10-19
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

However, in many practical situations, the degradation process of the image is unknown or only the parameter model of the blur kernel function is known

Method used

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  • Blind reconstruction method for video sequence
  • Blind reconstruction method for video sequence
  • Blind reconstruction method for video sequence

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Embodiment Construction

[0056] The present invention relates to the super-resolution reconstruction algorithm of the digital image, the automatic selection of the fuzzy kernel function and the optimization of the whole algorithm for the video sequence, and its specific implementation method comprises the following steps:

[0057] 1. Algorithm initialization

[0058] For the initialization problem in the algorithm, the initial value must first be given before the algorithm proceeds z (0) And initial fuzzy kernel function, the concrete steps that the present invention proposes are:

[0059] [1] Choose Gaussian blur as the initial value of the blur kernel function (can other blur kernel functions be used?);

[0060] [2] Affine motion initial parameter α (0) The selection method is as follows:

[0061] make: Among them, θ, s, and t represent the affine parameters of rotation, translation, and scaling respectively. The process of obtaining the LR image after affine transformation of the HR image ca...

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Abstract

The invention discloses a blind reconstruction method for a video sequence. The method comprises the following steps of: (1) initializing an algorithm, including initializing an affine motion initial parameter, a fuzzy kernel function and a high-resolution video sequence image; (2) establishing an image enhancement observation model; (3) performing the following iterative algorithms: 1, identifying the fuzzy kernel function; 2, performing super-resolution reconstruction on the video sequence image to obtain a high-resolution image; 3, estimating an affine motion parameter; and 4, judging whether results obtained in the steps 2 and 3 satisfy an iteration ending condition, and otherwise, returning to the step 1 until the condition is satisfied; and (4) obtaining a final video sequence reconstruction image. According to the method, the quality of a reconstructed video can be enhanced effectively, blind reconstruction can be performed on any group of low-resolution video sequences according to the characteristics of the video sequences, and the image display effect is enhanced; and the method plays an important theoretical and practical role in processing random remote sensing images, processing medical videos, developing military safety monitoring systems and the like.

Description

technical field [0001] The invention belongs to the technical field of digital image enhancement, and relates to a video sequence image super-resolution reconstruction technology and a fuzzy kernel function identification technology in super-resolution blind reconstruction of low-resolution images. Background technique [0002] In recent years, super-resolution reconstruction technology has become a research hotspot in the field of image processing, and is widely used in remote sensing, medical imaging, military and other fields. However, the current super-resolution reconstruction method does not consider the characteristics of different low-resolution image sequences, and lacks adaptability; and the blurring step in the reconstruction model has not been studied in depth, and they are often in the reconstruction process. The blur kernel function in the image degradation process is set in advance, so that complete blind reconstruction cannot be achieved; at the same time, th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 杨欣费树岷周大可陈谋
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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