Image quality evaluation method based on structural distortion and spatial frequency index
A technology for image quality evaluation and distorted images, applied in image analysis, image data processing, instruments, etc., can solve problems such as not considering the correlation between distorted images and original images
Inactive Publication Date: 2012-09-12
WUHAN UNIV
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However, for the distorted image that introduces noise, the higher the image definition value, the better the subjective vision of the image. The reason is that the image definition is calculated between the pixels of the image itself, and it does not take into account the difference between the distorted image and the original image. Correlation
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[0028] Traditional image quality assessment methods can be divided into two categories: subjective image quality assessment methods and objective image quality assessment methods. Traditional objective image quality evaluation methods, such as mean square error (MSE), peak signal-to-noise ratio (PSNR), etc., use the difference between each pixel and the original pixel to judge the quality of the image, although the mathematical expression is simple and the calculation is convenient , but the results are not always consistent with people's subjective feelings. However, subjective evaluation methods, such as the subjective quality score method (MOS), judge the image quality by normalizing the observer's score, which cannot be described by a mathematical model.
[0029] People's evaluation of image quality is a complex psychological activity, and there are many related factors that affect people's judgment on image quality. If these factors are extracted separately and finally s...
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The invention discloses an image quality evaluation method based on structural distortion and a spatial frequency index. An image quality evaluation method combining the structural distortion and the spatial frequency index is proposed on the basis of the image quality evaluation method based on the structural distortion, so that the image quality can be evaluated from the main factors influencing the image quality evaluation such as brightness, clarity and relevance. According to the image quality evaluation method based on the structural distortion and the spatial frequency index, consistency with the subjective feeling of the eye of the human beings can be realized when the image is objectively evaluated; and moreover since the selected calculation formula is simple, only the calculation between an original image and the distorted image pixels is involved, so that the method can quickly and efficiently evaluate the image quality.
Description
technical field [0001] The invention belongs to the field of image quality evaluation, in particular to an objective image quality evaluation method based on image brightness, definition and correlation. Background technique [0002] Image quality evaluation is one of the key technologies of image processing system. It is a complex psychological activity to evaluate image quality, and many factors affect the judgment of image quality. If these factors are extracted and applied to the objective evaluation of the image, the image quality can be well judged. These factors mainly include: ①Brightness. Proper brightness is the basic condition for people to observe images. If the brightness is too strong or too weak, it will cause the image quality to decline; ②Sharpness. People often use words such as blur and clarity to describe the quality of images. From the perspective of frequency domain, only when the ratio of high and low frequency information of an image is appropriate, ...
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IPC IPC(8): G06T7/00
Inventor 易尧华刘菊华苏海李帅
Owner WUHAN UNIV