Dictionary optimization method

An optimization method and dictionary technology, applied in the field of image processing, can solve the problems of unsatisfactory light field image reconstruction quality and large dictionary storage space, and achieve the effect of reducing storage space and improving reconstruction quality

Active Publication Date: 2016-06-08
BEIJING UNIV OF TECH
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Problems solved by technology

[0008] In the current method, the storage space of the dictionary in the light field reconstruction is not only large, but also the reconstruction quality of the light field image is not ideal

Method used

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Embodiment Construction

[0019] like figure 1 As shown, this dictionary optimization method, the method includes the following steps:

[0020] (1) Explore the process of observing matrix and dictionary functions in light field photography based on compressed sensing;

[0021] (2) Deduce the structured observation matrix P according to the structure of the camera;

[0022] (3) Combining the inconsistency between observation matrix and dictionary in compressed sensing, as well as theoretical knowledge of compressed sensing and sparse coding, construct an optimized dictionary model;

[0023] (4) According to the high correlation between light field views, and each view shares similar structural content, combined with the above structured observation P, construct a structure dictionary SD;

[0024] (5) Solve the optimized dictionary model according to the structured observation P, and finally obtain the optimized structural dictionary OSD and optimized dictionary OD.

[0025] On the premise that the ob...

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Abstract

The invention discloses a dictionary optimization method. The structural features of light field data can be better carried, storage space for a dictionary can be reduced and reconstruction quality of a light field image can be obviously enhanced. The method comprises the steps that (1) the affecting process of an observation matrix and the dictionary based on a compressed sensing light field photography is researched; (2) a structured observation matrix P is derived according to the structure of a camera; (3) an optimized dictionary model is constructed through combination of inconsistency of the observation matrix and the dictionary in compressed sensing and compressed sensing and the sparse coding theory knowledge; (4) a structural dictionary SD is constructed according to high correlation between light field views and the similar structural content shared by all the views with combination of the structured observation P; and (5) the optimized dictionary model is solved according to the structured observation P, and finally an optimized structural dictionary OSD and an optimized dictionary OD are obtained.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a dictionary optimization method. Background technique [0002] Compressed sensing (compressed sensing, CS) is a novel theory that has emerged in recent years. It is different from the traditional Nyquist sampling theorem, which points out that as long as the signal is compressible or sparse in a certain transform domain, then the transformed high-dimensional The signal is projected onto a low-dimensional space, and then the original signal can be reconstructed with high probability from these few projections by solving an optimization problem. The signal reconstruction of compressed sensing can often be transformed into a solution to an optimal sparse representation problem. Methods for solving such problems include mathematical programming algorithm, greedy algorithm, convex set projection algorithm, etc. [0003] The light field is a parametric represen...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/2136G06F18/28
Inventor 施云惠臧秀环丁文鹏尹宝才
Owner BEIJING UNIV OF TECH
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