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Reference-free spliced image quality evaluation method and system

A technology for image splicing and quality evaluation, applied in the field of image processing, can solve the problems of low efficiency, insufficient objectivity, inconvenient operation, etc., and achieve the effect of simple operation

Active Publication Date: 2019-11-05
XIAN UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] However, the traditional method of evaluating the quality of stitched images is based on high-quality stitched images as a reference, and then evaluates the stitched images subjectively, which is not only inconvenient to operate, inefficient, but also not objective enough to evaluate the same stitched image. There may be multiple evaluation results

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  • Reference-free spliced image quality evaluation method and system
  • Reference-free spliced image quality evaluation method and system
  • Reference-free spliced image quality evaluation method and system

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Embodiment 1

[0076] This embodiment provides a method for evaluating the quality of spliced ​​images without reference, which includes the following steps:

[0077] (1) Obtain the number of rows, columns, total number of pixels and the gray value of each pixel of the mosaic image to be evaluated; specifically, the number of rows of the mosaic image is denoted as H, and the number of columns of the mosaic image is denoted as L, The total number of pixels in the stitched image is denoted as N, and the gray value of each pixel in the stitched image is denoted as g, where the gray value of the central pixel is denoted as g c , the gray value of the neighborhood pixel is recorded as g p .

[0078] (2) Calculate the adaptive threshold according to the total number of pixels and the gray value of each pixel; specifically, the adaptive threshold is denoted as c ', and its calculation formula is:

[0079]

[0080] m p =|g p -g c |;

[0081] Among them, g c is the gray value of the center ...

Embodiment 2

[0116] Refer to attached Figure 36 , this embodiment provides a system for implementing the above reference-free splicing image quality evaluation method, which includes: an acquisition module, a first calculation module, a judgment module, a second calculation module, a third calculation module and an evaluation module. Wherein, the obtaining module is used to obtain the number of rows, the number of columns, the total number of pixels and the gray value of each pixel of the spliced ​​image; The degree value is calculated to obtain an adaptive threshold; the judgment module is used to judge the complexity of the details of the stitched image according to the adaptive threshold; the second calculation module is used to determine the pixels in the neighborhood of each pixel through the complexity of the details of the stitched image The number of points, and according to the number of pixels in the neighborhood of each pixel, calculate the CLBP window gradient difference value...

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Abstract

The invention discloses a reference-free spliced image quality evaluation method and system, and belongs to the technical field of image processing. The evaluation method comprises the following steps: firstly, calculating an adaptive threshold, and judging the detail complexity of a spliced image; then, determining the number of pixel points in the neighborhood of each pixel point according to the detail complexity of the spliced image, and acquiring a CLBP window gradient difference value of each pixel point through calculation; and then, acquiring the average CLBP window gradient differencevalue of the spliced image through calculation, so that the quality of the spliced image can be evaluated. According to the spliced image quality evaluation method provided by the invention, the quality of the spliced image is objectively evaluated by utilizing the average CLBP window gradient difference value (MCLBP _ M value) of the spliced image, the operation is simple, and an evaluation effect consistent with a subjective evaluation result can be achieved without reference images.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and system for evaluating the quality of spliced ​​images without reference. Background technique [0002] Image stitching technology is a technology that stitches several overlapping images into a seamless panorama or high-resolution image. Through image stitching technology, multiple images can be stitched to form a stitched image. Due to the limitations of the image stitching technology, the image quality of the stitched image may have certain defects, so it is often necessary to evaluate the quality of the stitched image to judge the image quality level of the stitched image. [0003] However, the traditional method of evaluating the quality of stitched images is based on high-quality stitched images as a reference, and then evaluates the stitched images subjectively, which is not only inconvenient and inefficient, but also not objective enough to evaluate t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/30168
Inventor 许静马珍吝丹
Owner XIAN UNIV OF POSTS & TELECOMM
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