Low-quality photograph-based multi-dimensional analysis, identification and optimization method

Abstract

The invention discloses a low-quality photograph-based multi-dimensional analysis, identification and optimization method. The method includes a cloud-side server, a user intelligent-equipment end anda user intelligent-printing end. The cloud-side server, the user intelligent-equipment end and the user intelligent-printing end are all in mutual communication connection. The user intelligent-equipment end has an uploaded-photograph / image analysis system. The uploaded-photograph / image analysis system is used to carry out image quality analysis on a photograph or an image uploaded by the user intelligent-equipment end. The inside of the user intelligent-equipment end has a picture optimization program module. The picture optimization program module is used to carry out image optimization processing on a middle / low-quality photograph or a middle / low-quality image uploaded by the user intelligent-equipment end. According to the method, the middle / low-quality photograph is determined and identified through cloud-side server data, the user intelligent-equipment end marks a low-quality photograph, analyzes poor-quality features of the low-quality photograph on a printing effect, and thencarries out targeted identification and optimization processing, and photograph or image printing quality is improved.

Description

technical field [0001] The invention relates to a method for multi-dimensional analysis, identification and optimization of low-quality photos of printed photos, in particular to a multi-dimensional analysis, identification and optimization method based on low-quality photos. Background technique [0002] Now more and more people are printing photos, especially online software and WeChat public accounts, etc., provide online photo uploading, and then photo printing services. However, photo printing should achieve the best effect of the real object, which has high requirements on the quality of the photos. Many photos uploaded by users’ mobile phones do not meet the requirements. The reputation is not good; at the same time, the printing service provider did not effectively inform and process the photos in advance, which increased the cost of after-sales service. If the photos are processed after receipt, a lot of labor costs will be required. Therefore, this patent is to so...

AI Technical Summary

Problems solved by technology

However, photo printing should achieve the best effect of the real object, which has high requirements on the quality of the photos. Many photos uploaded by users’ mobile phones do not meet the requirements. Bad reputation; at the same time, the printing service provider did not effectively inform and process the photos in advance, which increased the cost of after-sales service. If the photos are processed after receipt, a lot of labor costs will be required

Images