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Image-quality estimation based on supercomplex singular-value decomposition

A singular value decomposition and quality assessment technology, applied in the field of image processing, can solve the problems of ignoring color information and inability to effectively distinguish the distortion type of damaged color images, etc.

Inactive Publication Date: 2007-01-17
FUDAN UNIV
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  • Summary
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  • Claims
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AI Technical Summary

Problems solved by technology

Obviously, this approach ignores the color information of the image, making it impossible to make effective judgments on some damaged color images with little distortion, and cannot effectively distinguish the distortion types of different damaged color images

Method used

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  • Image-quality estimation based on supercomplex singular-value decomposition
  • Image-quality estimation based on supercomplex singular-value decomposition
  • Image-quality estimation based on supercomplex singular-value decomposition

Examples

Experimental program
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Embodiment Construction

[0058] Utilize method of the present invention respectively to six test images (Lena (Lina), Baboon (baboon Buddha), Peppers (pepper), Girl (girl), Airplane (aircraft), and Goldhill (Jinshan) image such as figure 1 shown) to produce five different distortion types: JPEG compression, Gaussian blur (Gaussian blur), Gaussian noise (Gaussian noise), Sharpening (sharpening), and DC-shifting (pixel translation), and each distortion type Five different distortion levels are included. The test results show that, compared with the currently known objective evaluation methods of color image quality (such as MSE, PSNR and MSSIM, etc.), the performance of this method is better.

[0059] Taking Lena and Baboon images as examples, firstly, different types and levels of distortion processing are performed on Lena and Baboon images, as shown in Table 1.

[0060] In Table 1, JPEG represents the image compressed by the JPEG method, G.noise represents the image with Gaussian noise added (Gaussi...

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Abstract

The method comprises: using super complex number (quaternion) to build a model for color image, which can save the whole information of the color image; using the singular value decomposition of the super complex number to extract the self energy feature of the color image; using the difference between the signaler values in the original image and the distortional image to build the distortion mapping matrix, which is used to evaluate the quality of the color image. The invention can measure the type and level of image distortion so as to accurately evaluate the quality of color image.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a method for evaluating the quality of color images (including color video images and color pictures). Background technique [0002] In the process of image acquisition, compression, storage, transmission and reproduction, digital images often produce a large number of different types and levels of distortion, which will lead to a serious decline in image quality. How to accurately evaluate the image quality has become a very challenging subject in the field of image processing. [0003] In the past 30 years, a large number of papers proposed many methods to try to solve this problem [1]. Some articles divide the evaluation of image quality into two categories: subjective evaluation and objective evaluation [2]. Subjective methods are affected by many factors including environmental conditions, motivations, and emotions, and are time-consuming, labor-intensive, and exp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N1/56H04N9/64
Inventor 叶佳张建秋胡波
Owner FUDAN UNIV
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