Dictionary database-based adaptive image super-resolution reconstruction method

A technology of super-resolution reconstruction and database, which is applied in the field of image processing and can solve problems such as the degradation of high-resolution image quality.

Inactive Publication Date: 2013-03-13
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

Both of these factors lead to a loss of qua

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  • Dictionary database-based adaptive image super-resolution reconstruction method
  • Dictionary database-based adaptive image super-resolution reconstruction method
  • Dictionary database-based adaptive image super-resolution reconstruction method

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Embodiment Construction

[0150] A specific embodiment of the present invention applied to super-resolution reconstruction of a face image will be described in detail below in conjunction with the accompanying drawings.

[0151] In this embodiment, a face image is selected from the "Georgia Tech" face database. The "Georgia Tech" face database contains face images of 40 people, and each person contains face images from different angles. In this embodiment, 40 frontal images of these 40 people are selected. Since the images in the "Georgia Tech" face database have a large non-face area, it is necessary to cut these 40 images in advance, select the face part, and the cut images are all 300×300 in size. From these 40 images, 30 are randomly selected as training images; the test images are randomly selected from the remaining 10 images, and this embodiment selects figure 2 (b) as a test image. The desired magnification in this embodiment is set to 3, and the specific process is as follows:

[0152] 1 ...

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Abstract

The invention discloses a dictionary database-based adaptive image super-resolution reconstruction method in the field of image processing. The dictionary database-based adaptive image super-resolution reconstruction method comprises the steps of: adaptively selecting a matched dictionary from a dictionary database according to a characteristic vector of each low-resolution image block, if the matching fails, re-training to obtain a proper dictionary, updating the dictionary into the dictionary database, then carrying out super-resolution reconstruction on the blocks by using the dictionary to obtain image blocks with high resolution, and finally, recombining all blocks to obtain a high-resolution image. The dictionary database-based adaptive image super-resolution reconstruction method is test in a face image, results prove that the method is superior to a method using a single dictionary in term of the image reconstructing effect, training image blocks with higher matching degree can be screened out in a process of training a local adaptive dictionary; and since many matched image blocks exist, prior information of a training set is sufficient amd a reconstructing effect is greatly improved compared with that of the method using the single dictionary.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an adaptive image super-resolution reconstruction method based on a dictionary database. Background technique [0002] With the progress of society, people have higher and higher requirements for image quality. Image resolution is an important indicator to measure the quality of an image, and it indicates the level of detail of the information that the image can provide. The higher the image resolution, the richer the detailed information can be provided, and the more accurate and detailed description of the objective scene. Due to the bottleneck of sensor manufacturing technology, the traditional method of improving image resolution by improving hardware structure is no longer applicable. In this context, image super-resolution reconstruction using software technology, as an important research direction in the field of image processing, has received extensive attentio...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 张爱新徐光耀李建华金波李生红
Owner SHANGHAI JIAO TONG UNIV
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