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Face hallucination method based on image position block neighbor embedding

An image block and position block technology, which is used in image enhancement, image data processing, instrumentation, etc.

Inactive Publication Date: 2016-11-23
WUHAN UNIV
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Problems solved by technology

However, there is no ideal face illusion method in this field.

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  • Face hallucination method based on image position block neighbor embedding
  • Face hallucination method based on image position block neighbor embedding
  • Face hallucination method based on image position block neighbor embedding

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[0031]The image block expression method based on sparse representation provided by the prior art can obtain a unique stable solution by introducing the constraint of sparse prior, but it does not impose any constraints on the sparse representation, resulting in the selected sample image block may be different from The input image blocks are very different, which makes the reconstructed high-resolution face image have a lot of noise, especially in the eyes and mouth with rich edges. According to the constraint that the face image has a strong structure and the image blocks at the same position have local similarity, we use the distance between the observed image block and the sample image block as the local constraint, and select The nearest sample image patches are used to reconstruct the observed image patches. Since a small number of adjacent blocks are used to represent the observed image blocks, the problem of non-unique representation coefficients can be solved, and image...

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Abstract

The present invention provides a face phantom method based on the nearest neighbor embedding of image position blocks. The high-rate face sample image is divided into overlapping image blocks, and the low-resolution and high-resolution face sample block spaces are established; for each image block in the input low-resolution face image, find the corresponding low-resolution image block dictionary K image blocks closest to the small image block, and then find the corresponding K adjacent high-resolution image blocks in the high-resolution image block dictionary for these K image blocks; use these K low-resolution image blocks to linearly represent Input a low-resolution image block to obtain a representation coefficient; use this representation coefficient and K adjacent high-resolution image blocks to reconstruct a new high-resolution image block; according to the positional relationship of the low-resolution image block, the resulting high-resolution image block into high-resolution images.

Description

technical field [0001] The invention relates to the field of image super-resolution, in particular to a face illusion method based on image position block neighbor embedding. Background technique [0002] The face images of criminal suspects are the most concerned targets of criminal investigators. However, in actual monitoring applications, due to the long distance between the camera and the object of interest, the limited bandwidth and storage resources of the monitoring system, and the influence of environmental noise and device noise, the surveillance video is blurred and it is difficult to provide information on the identification of the object of interest. Details required. Face image super-resolution is a technology for reconstructing clear and high-resolution face images based on observed low-resolution face images. It can effectively enhance the resolution of low-quality face images and restore facial feature details. This is of great significance for improving th...

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Application Information

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IPC IPC(8): G06T5/50
Inventor 胡瑞敏渠慎明王中元江俊君张茂胜廖良关健刘波
Owner WUHAN UNIV
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