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Weighted adaptive super-resolution reconstructing method for image sequence

A technique for super-resolution reconstruction and image sequence, applied in the field of image processing

Inactive Publication Date: 2010-08-04
SOUTHEAST UNIV
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Problems solved by technology

In general, among the various methods of the spatial domain method, the reconstruction-based method has achieved good results, but it is necessary to further improve the ability of super-resolution image enhancement, using different images and applications

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  • Weighted adaptive super-resolution reconstructing method for image sequence
  • Weighted adaptive super-resolution reconstructing method for image sequence
  • Weighted adaptive super-resolution reconstructing method for image sequence

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Embodiment Construction

[0114] In a specific implementation manner, the detailed process of the method for weighted adaptive super-resolution reconstruction of an image sequence will be clearly and completely described with reference to the accompanying drawings.

[0115] 1. a weighted adaptive super-resolution reconstruction method of image sequence, is characterized in that, comprises the steps:

[0116] Step 1 takes consecutive K frames M obtained by the same sensor 1 × M 2 A low-resolution image of size, get the low-resolution image sequence {Y k (x, y): k=1, 2, ..., K}, where, where, M 1 and M 2 Respectively, the number of rows and columns of the image matrix of each low-resolution image, M 2 , M 1 And K is a positive integer, use Y k The (x, y) two-dimensional function form represents the kth frame image in the low-resolution image sequence, the value of the coordinate (x, y) is a discrete quantity and both x and y are non-negative integers, Y k (x, y) is expressed in matrix form as

[...

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Abstract

The invention discloses a weighted adaptive super-resolution reconstructing method for an image sequence, which is superior to the conventional method in the aspects of robustness and practicability, and has important application value for obtaining a high-quality image. The method comprises the following steps: (1) acquiring a plurality of continuous frames of low-resolution images obtained by the same sensor, and resampling a low-resolution image sequence to obtain a resampled low-resolution image sequence; and (2) reconstructing a frame of high-resolution image by utilizing the resampled low-resolution image sequence, wherein the method for reconstructing the frame of high-resolution image comprises the following steps: firstly, establishing a high-resolution image degradation model; secondly, converting a solving process of the high-resolution image in the degradation model into an optimizing process of a solution of a reconstruction optimization model of the high-resolution image according to a predetermined degradation model of the high-resolution image and a regularization theory; and finally, optimizing the reconstruction optimization model of the high-resolution image by utilizing a progressive non-convex algorithm so as to obtain an optimal estimation value of the high-resolution image.

Description

technical field [0001] The invention belongs to the field of image processing, and in particular relates to a weighted adaptive super-resolution reconstruction method of an image sequence. Background technique [0002] Super-resolution technology has a wide range of application requirements. This technology can be applied to many fields such as military, medical, traffic monitoring, remote sensing, and industry. In order to achieve target recognition and positioning, license plate recognition and other purposes; in the military, the captured low-resolution images are reconstructed to improve the recognition ability of military targets. [0003] The super-resolution reconstruction method stems from the fact that there are many factors that cause image degradation during the process of image acquisition by the sensor, and there are many reasons for the degradation of the quality of the acquired video image, such as atmospheric disturbance, motion, and dispersion. , undersampl...

Claims

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Application Information

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IPC IPC(8): G06T5/50
Inventor 路小波曾维理朱周
Owner SOUTHEAST UNIV
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