Mobile phone anti-shake function evaluation method based on image fuzziness

Abstract

The invention discloses a mobile phone anti-shake function evaluation method based on image fuzziness. The method comprises steps of fixing the position of a mobile phone position, shooting static images, then, starting the vibrating table, shooting a group of images when the anti-shake function of the mobile phone is started and closed; then, calculating image fuzziness based on a deep learning method, carrying out feature extraction by using a deep learning deblurring network, calculating a Wasserstein distance of a feature vector to obtain fuzziness amounts of the two groups of images, andfinally, generating an image fuzziness evaluation result according to the fuzziness amounts. According to the invention, the whole image can participate in ambiguity calculation; compared with an existing evaluation method adopting a local image for calculation, the method has the advantages that the influence of different areas on the calculation result is avoided, the calculation is more reasonable, the result is more accurate, and meanwhile, the calculated ambiguity makes detailed and clear division on the anti-shake function of the mobile phone, so that the objectivity of the evaluation result is improved, and a user can understand and grasp the evaluation result more easily.

Description

Technical field [0001] The invention relates to an evaluation method, in particular to an evaluation method for the anti-shake function of a mobile phone based on image blur, and belongs to the field of mobile phone evaluation. Background technique [0002] The camera function is an important part of mobile phones, and the quality of its shooting directly affects the sales of smart phones. Therefore, the pursuit of shooting quality by manufacturers is constantly updating and improving. The anti-shake function of mobile phones is a necessary prerequisite for taking high-quality photos, especially for smart phone products, its effect is more prominent and obvious. [0003] The current evaluation process for the anti-shake function of mobile phones mainly includes: [0004] 1) Place the mobile phone on the vibration table, and change the shutter speed (SS) of the mobile phone according to the shooting requirements described in the anti-shake test standard "CIPA DC-X011-Translation-201...

AI Technical Summary

Problems solved by technology

[0015] 1) The content of the standard focuses on the description of the evaluation operation process, and the definition of the calculation part of the evaluation result is not clear enough, and there is ambiguity, which leads to different evaluation results obtained by users using different calculation methods in the actual use process;

[0016] 2) The evaluation method described in the standard is only for mobile phones that use optical image stabilization, and the evaluation object is the amount of blur in the captured picture, which reduces the universality of the evaluation method. Some smart phones that use electronic image stabilization, digital image stabilization, etc. cannot be evaluated effectively;

[0017] 3) The standard evaluation results are anti-shake levels, such as level 1, level 3, etc., which are too general, and non-professionals cannot correctly interpret the results, which will affect users' judgment on mobile phone anti-shake performance

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