No-reference noise image quality evaluation method and system
A technology for image quality evaluation and reference noise, which is applied in the field of image processing and can solve problems such as inaccurate evaluation of severely distorted images
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Embodiment 1
[0136] Such as figure 1 , the implementation of a reference noise-free image quality evaluation method provided in the embodiment includes the following processing procedures:
[0137] Step S1, performing BEMD decomposition and Riesz transformation on the image to be tested;
[0138] Step S2, performing weighted summation on the results of step S1 by using the visual contrast sensitivity function to obtain the feature map of the denoised image;
[0139] Step S3, using the feature maps of the image to be tested and the denoised image to perform similarity calculation and weighted summation to obtain an evaluation result.
[0140] Such as figure 2 As shown, the step S1, performing BEMD decomposition and Riesz transformation on the image to be tested, comprises the following steps:
[0141] Step1.1, for the image to be tested, perform BEMD decomposition in the two-dimensional empirical mode:
[0142] Step A. For the two-dimensional image signal f (x, y), x=1, ..., M, y=1, .....
Embodiment 2
[0186] It should be noted that Embodiment 1 is a method embodiment, and Embodiment 2 is a system embodiment. This embodiment 2 and method embodiment 1 belong to the same technical concept. For the content that is not described in detail in this embodiment 2, please refer to the method Example 1.
[0187] During specific implementation, the method provided by the present invention can realize the automatic operation process based on software technology, and can also realize the corresponding system in a modular manner.
[0188] Such as Figure 5 As shown, the present invention provides a reference noise-free image quality evaluation system, including the following modules,
[0189] The first module is used to perform BEMD decomposition and Riesz transformation on the image to be tested;
[0190] The second module is used to carry out weighted summation using the visual contrast sensitivity function to the results of the first module to obtain the feature map of the denoising ...
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