LPP-ELM based objective stereoscopic image quality evaluation method

An objective quality evaluation, LPP-ELM technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as limited cognitive level, achieve the effect of reducing image dimensionality, less manual participation, and effective features

Inactive Publication Date: 2017-02-08
TIANJIN UNIV
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Problems solved by technology

However, due to the limited level of human cognition of the human visual system, the existing human visual characteristics may not fully reflect the human visual experience, so some literature proposes to use the neural network method to establish a stereoscopic image quality evaluation model

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  • LPP-ELM based objective stereoscopic image quality evaluation method
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  • LPP-ELM based objective stereoscopic image quality evaluation method

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Embodiment Construction

[0031] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0032] Specific steps are as follows:

[0033] Step 1. Select training samples and test samples

[0034] According to the ITU-RBT.500 and ITU-RBT.1438 standards, the evaluation data samples are obtained through subjective test experiments, and the training samples and test samples are selected through repeated trials. The stereo images selected for the subjective test experiment are all from the image database of the Institute of Broadband Wireless Communication and Stereo Imaging. A total of 406 stereo image samples were selected, and the resolution of each sample image was 2560×1024, of which 4 were source stereo images, 406 Among the stereoscopic image samples, 150 images are selected as training samples, and 256 images are used as test samples.

[0035] Step 2. Use the LPP algorithm to perform feature extraction an...

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Abstract

The invention discloses an LPP-ELM based objective stereoscopic image quality evaluation method. The method comprises the steps that (1) a training sample and a test sample are selected; (2) an LPP algorithm is used to carry out feature extraction and dimension reduction on the training and test samples; and (3) an ELM is used to classify the training sample. Compared with the prior art, the method improves the accuracy of an identification system due to use of the LPP-ELM algorithm, manual intervention is little, and effective approaches are provided for real-time environment and system popularization of objective stereoscopic image quality evaluation; and compared with PCA-ELM and PCA-SVM, LPP-ELM is higher in the whole performance of objective stereoscopic image quality evaluation, and is feasible in practicality.

Description

technical field [0001] The invention relates to the technical field of image quality evaluation, in particular to the improvement and optimization of an objective evaluation method for volumetric image quality using LPP and ELM. Background technique [0002] With the development of computer science and technology, 3D imaging technology is gradually becoming the development direction of a new generation of information technology, and stereoscopic image technology is widely used in people's lives. Stereoscopic images bring people a more vivid experience, but in the process of acquisition, processing, transmission, etc., some distortion will inevitably be introduced. Therefore, how to effectively evaluate the quality of stereoscopic images has become one of the key issues in stereoscopic image technology. Stereoscopic image quality evaluation methods are divided into subjective evaluation and objective evaluation. The former gives an image quality score based on subjective fe...

Claims

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Application Information

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IPC IPC(8): G06T7/593G06T7/00G06K9/62
CPCG06T7/0002G06T2207/20081G06T2207/20084G06T2207/10012G06F18/2411G06F18/214
Inventor 李素梅范如孟迪侯春萍
Owner TIANJIN UNIV
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