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Quick intelligent image toning method

An image adjustment and intelligent technology, applied in the field of image processing, can solve the problems that the algorithm cannot be processed in real time, cannot adapt to various lighting and environmental scenes, and performance and effects cannot be achieved at the same time, so as to improve image processing efficiency, performance, The effect of improving the efficiency of image color correction

Active Publication Date: 2020-07-28
HEFEI NORMAL UNIV +1
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Problems solved by technology

At present, most of the methods on the market are based on a single method of adjusting brightness contrast or color tone based on traditional algorithms, which cannot adapt to various lighting and environmental scenes, and algorithms with good effects often cannot be processed in real time. Some AI algorithms based on artificial intelligence are too Relying on GPU, performance and effect cannot be achieved without GPU, especially in CPU environment, speed becomes the bottleneck of the algorithm

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  • Quick intelligent image toning method
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Embodiment Construction

[0016] Reference figure 1 , The method for fast and intelligent color toning of an image proposed by the present invention first obtains a toned image, and adjusts the toned image to a size equal to the length and width by filling pixels; then, performs the toning image on the pre-trained intelligent color toning model. Color to obtain a color effect map. In specific implementation, when adjusting the size of the toned image, you can fill black with images with different lengths and widths.

[0017] In this embodiment, the smart color adjustment model is used to perform smart color adjustment on the color adjustment image, which improves image processing efficiency.

[0018] In this embodiment, the training method of the intelligent color correction model is as follows: first construct the model and select sample images; obtain the desired effect image of each sample image through manual adjustment; use the sample image and the corresponding desired effect image as the training se...

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Abstract

The invention provides a quick intelligent image toning method, which comprises the following steps: firstly, obtaining a toned image, and adjusting the toned image to have the same length and width by filling pixels; and then toning the toned image through a pre-trained intelligent toning model to obtain a toning effect picture. According to the quick intelligent image toning method provided by the invention, intelligent toning is carried out on the toned image through the intelligent toning model, so that the image processing efficiency is improved.

Description

Technical field [0001] The invention relates to the technical field of image processing, in particular to a method for rapid and intelligent color toning of images. Background technique [0002] At present, in the image processing software market and camera photography and other fields, image intelligent color toning has become a very important basic function, whether it can be processed in real time, intelligently adjust the brightness, contrast, and color tone, and perform high-quality preprocessing of the image to improve the image quality of the camera. And post-processing such as image beautification is of great significance. At present, most of the methods on the market are based on a single method of adjusting brightness, contrast or hue based on traditional algorithms, which cannot adapt to various lighting and environmental scenes, and algorithms with good effects are often unable to process in real time. Some AI algorithms based on artificial intelligence are too Relyi...

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Application Information

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IPC IPC(8): G06T5/00G06T7/90
CPCG06T7/90G06T2207/10004G06T2207/20081G06T2207/20084G06T5/90
Inventor 陈兵兵张忠祥范程华周元元曹欣远谭娟梅炜炜曹新明陈静
Owner HEFEI NORMAL UNIV
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