Photo processing method based on image recognition

Abstract

The present invention provides a photo processing method based on image recognition. By recognizing the photo features of a photo, different toning processing schemes are set according to different photo features, and corresponding toning processing schemes are executed one by one according to the photo features contained in the photo. Through the image recognition module to recognize the characteristics of the image, to achieve a pre-press image recognition, full analysis of the characteristics of the image, and through the color processing module according to the characteristics of the imagefor targeted pre-press toning optimization. At the same time of the batch processing, the image toning can be performed according to the characteristics of the image, thereby improving the efficiencyof image processing and improving the toning processing effect of the image.

Description

technical field [0001] The invention belongs to the field of photo processing, and in particular relates to a photo processing method based on image recognition. Background technique [0002] The image printing industry has always faced a problem: the effect of the same photo displayed on an electronic screen is far better than that printed. [0003] Because when the image is displayed on the electronic screen (mobile phone or computer), it uses active luminous RGB (red / green / blue three colors) dot matrix synthesis, the color display is bright and clear, and the color gamut is also richer; while the same image is printed out , by inkjet CMYK (cyan Cyan / magenta Magenta / yellow four colors) on the paper, these four ink colors are modulated into the target color, and presented to the user through light reflection (rather than active light emission) . Because the display principles and imaging principles of the two are different, usually the printed image will be obviously dark...

AI Technical Summary

Problems solved by technology

[0005] The first one is to use manual recognition of image features, and then use your own experience and skills to color manually; the biggest drawback of this method is that it consumes manpower and the processing efficiency is low;

[0006] The second method is to uniformly adjust image brightness, contrast, sharpening, etc. before printing, and optimize photos in batches; although this method has high processing efficiency, the biggest drawback is unified parameter adjustment, which cannot be adjusted according to the characteristics of the image itself, resulting in inappropriate adjustments The display effect of the image is further deteriorated after adjustment

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