A two-dimensional barcode image no-reference quality evaluation method and its device and system

Abstract

The invention discloses a two-dimensional barcode image non-reference quality evaluation method and its device and system, wherein the method sequentially includes the following steps: inputting a two-dimensional barcode image T1 and performing grayscale transformation on T1 to obtain a transformed two-dimensional barcode image T2; calculate the average energy value E of T2; compare the pixel values ​​of all pixels in T2 with the average energy value E, and obtain the energy definition value G by summing the comparison results according to the weight, and calculate the average gradient square value H of T2 at the same time ; Calculate the normalized evaluation value Q of T2, and use Q as the standard of whether the two-dimensional barcode image can be recognized. The present invention does not need the original reference image, but only needs to evaluate the two-dimensional barcode image to be tested, and uses the spatial domain function for evaluation, so the calculation amount is relatively small, the accuracy is higher, and the applicable scenarios are generally wider.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a two-dimensional barcode image non-reference quality evaluation method and its device and system. Background technique [0002] With the rapid development of Internet of Things technology, the application of two-dimensional barcode images is becoming more and more extensive. Since two-dimensional barcode images are prone to distortion during the process of acquisition, compression, storage, transmission and reconstruction, and image quality is an important indicator to measure the performance of image processing systems, image quality evaluation is very important for evaluating and optimizing image processing systems . [0003] Image quality evaluation methods can be divided into two categories: subjective evaluation and objective evaluation. Subjective evaluation is the evaluation of image quality by observers. This method is time-consuming and laborious, has poor op...

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Problems solved by technology

Subjective evaluation is the evaluation of image quality by observers. This method is time-consuming and laborious, and has poor operability, so it is difficult to be widely used.

Objective evaluation is to calculate the image quality by establishing a mathematical model, which has the advantages of simplicity, repeatability and high calculation efficiency. One of the objective evaluation methods is the full reference image quality evaluation method. This type of method requires original The reference image must be compared with the reference image, and the reference image must be clear and of good quality, but in some practical application scenarios, the reference image cannot be obtained, which restricts the use of this type of method, and the digital image quality evaluation function used is generally frequency domain evaluation function or statistical evaluation function, and the calculation amount brought by the frequency domain function is very large, which is not suitable for real-time system evaluation applications. On the other hand, because the two-dimensional barcode image is easily affected by factors such as uneven illumination, the When evaluating the statistical function, the image features of the two-dimensional barcode cannot be fully calculated and evaluated correctly, so the accuracy is low and the evaluation effect is unstable

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