Tone mapping image non-reference quality evaluation method based on image segmentation

A technology of image quality evaluation and tone mapping, applied in image analysis, image enhancement, image data processing, etc., can solve the problem of lack of in-depth research on local areas of images

Active Publication Date: 2020-03-24
NINGBO UNIV
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Problems solved by technology

[0004] However, the currently used tone mapping image quality evaluation method lacks in-depth research on local areas of the image, especially in the flat and complex ar

Method used

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  • Tone mapping image non-reference quality evaluation method based on image segmentation
  • Tone mapping image non-reference quality evaluation method based on image segmentation
  • Tone mapping image non-reference quality evaluation method based on image segmentation

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Embodiment

[0061] Embodiment: a method for evaluating image quality without reference tone mapping based on image segmentation, comprising the following steps:

[0062] ① Select any tone-mapped image from the 747 ESPL-LIVE image library, denoted as I TM , the tonemapped image I TM Converted to a grayscale image, denoted as I G-TM ;

[0063] ② For tone mapping image I TM Carry out texture segmentation, and denote the segmented complex region image as G Comp , and the flat area image is denoted as G flat ;Specifically:

[0064] ②_1a. Use the canny operator to extract the edge of the grayscale image, and record the image after edge extraction as a;

[0065] ②_1b. Perform expansion processing on a, so that the image forms a connected area as much as possible; record the expanded image as b, Among them, S is a disk with a radius of 1 pixel, and Z is the displacement generated when the expansion element S is translated;

[0066] ②_1c. Use a line segment with a length of 10 pixels to f...

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Abstract

The invention discloses a tone mapping image quality evaluation method based on image segmentation. Aiming at the characteristic that main distortion types of different regions of a tone mapping imageare different, the tone mapping image is divided into a complex region and a flat region, texture detail features are extracted from the complex region, chrominance features are extracted from the flat region, and then the texture detail features and the chrominance features are extracted from a global region. The method aims at the characteristic that detail distortion of highlight and low-darkareas of an image is too large. An image is divided into a highlight area, a low dark area and other areas. Information entropy features are extracted from different areas to represent the distortiondegree of the image, then a high-brightness low-dark area threshold value serves as a feature to judge the brightness distribution uniformity degree of the image, feature values with good effects whendifferent areas are evaluated are reserved, feature values with poor effects are removed, and feature redundancy is reduced; and the correlation between the obtained objective evaluation result and the subjective perception of human eyes is effectively improved.

Description

technical field [0001] The invention relates to an image quality evaluation technology, in particular to a no-reference quality evaluation method for tone mapping images based on image segmentation. Background technique [0002] High-dynamic range (High-Dynamic Range, HDR) images have a very high dynamic range. Compared with ordinary images, they can provide more image details and restore real scenes; Photography, virtual reality, image rendering and other fields have been widely used. However, due to the high cost of professional equipment for acquisition and display, it is difficult to popularize the application of high dynamic images in society. In order to enable HDR images to be displayed on a conventional dynamic range (Standard-Dynamic Range, SDR) display device, they can usually be mapped to the SDR through a tone-mapping (Tone-mapping, TM) algorithm; in the process, it may introduce The corresponding image quality decreases; in order to obtain high-quality TM imag...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/45G06T7/90
CPCG06T7/0002G06T7/11G06T7/136G06T7/45G06T7/90G06T2207/30168Y02P90/30
Inventor 池碧蔚郁梅徐海勇宋洋蒋刚毅
Owner NINGBO UNIV
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