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

An image quality evaluation and high dynamic range technology, applied in image data processing, image communication, image enhancement, etc., can solve problems such as poor correlation and no consideration of image content, achieve low complexity and improve perceived quality

Inactive Publication Date: 2015-02-11
SHANGHAI JIAO TONG UNIV
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However, neither takes into account the impact of image content, resulting in thei

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

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[0019] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be pointed out that for those of ordinary skill in the art, a number of modifications and improvements can be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0020] This embodiment provides a high dynamic range image quality data set, and the implementation process is as follows figure 1 As shown, including the following steps:

[0021] The first step, the generation of HDR2014 data set

[0022] JPEG: Call the imwrite function of Matlab to compress the HDR image into a JPEG image, use the Q parameter as (70, 60, 50, 40, 30, 20, 10, 5), and then use the hdrwrite function to generate the HDR image from the JPEG;

[0023] JP2K: Call th...

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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...

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Application Information

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IPC IPC(8): G06T7/00H04N17/00
CPCG06T7/0002G06T2207/30168H04N17/02
Inventor 杨小康刘敏翟广涛顾锞
Owner SHANGHAI JIAO TONG UNIV
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