Image quality evaluation method for image quality dataset adopting high dynamic range

Abstract

The invention provides an image quality evaluation method for an image quality dataset adopting a high dynamic range. The image quality evaluation method for the image quality dataset adopting the high dynamic range comprises the steps of 1) selecting 8 reference images and correspondingly using 192 images formed by distorted images which are at 8 distortion levels and are subjected to JEPG / JEPG2000 compression and white noise and Gaussian blurring processing; 2) conducting subjective visual testing, using a pair of corrected 8-bit LDR and 10-bit HDR displays to display the images and recording subjective scores; 3) testing some IQA methods which are the most advanced at present on the obtained HDR2014 to obtain final subjective quality scores, wherein the stronger the correlation between subjective quality scores and MOS / DMOS values is, the more accurate the evaluation methods are. According to results, compared with LDR, the image quality evaluation method for the image quality dataset adopting the high dynamic range has the advantages that the sensing quality of visual irritation is improved; and according to testing by using the current several IQA methods, except a small part of testing methods with performance which is obviously decreased, the testing performance of other methods is very good.

Description

technical field [0001] The present invention relates to an image quality evaluation method, in particular to an image quality evaluation method using a high dynamic range image quality data set. Background technique [0002] 80% of human information is obtained through vision, especially in today's information-advanced society, digital TV, digital imaging, video conferencing, social media and other vigorous methods make the demand for high-quality images and videos more and more . Image Quality Assessment (IQA) is a classic research direction, which plays an important role in many fields of digital image processing, such as the development and optimization of image compression, storage and transmission. [0003] Existing image quality assessment (IQA) methods all study low dynamic range (LDR) images. However, in the real world, our visual system is able to perceive a large range of visible light, spanning an absolute range of about 10 orders of magnitude from direct sunlig...

AI Technical Summary

Problems solved by technology

However, neither takes into account the impact of image content, resulting in their poor correlation with human quality ratings, namely the Mean Opinion Score (MOS)

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