Image processing method and device thereof, electronic equipment and computer readable medium
An image processing and image technology, applied in the image field, can solve problems such as irreversible, unsatisfactory noise reduction effect, inaccurate noise reduction model training, etc., to achieve accurate training results and ideal denoising effects
Pending Publication Date: 2021-02-02
TENCENT TECH (SHENZHEN) CO LTD
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However, the artificially added noise cannot reflect the noise of the real environment, making the training of the noise reduction model not accurate enough, and the noise reduction effect of the model is not ideal
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[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative efforts belong to the scope of protection of the present application.
[0026] It should ...
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The invention discloses an image processing method and a device thereof, electronic equipment and a computer readable medium, and relates to the technical field of images, and the method comprises thesteps: obtaining a to-be-processed target image which contains to-be-processed noise; determining a distribution area of to-be-processed noise in the target image based on a pre-trained denoising model to serve as a first area, training the denoising model based on the noisy sample image, and enabling the noise contained in the noisy sample image to be the noise collected by the image collectiondevice when the image collection device collects the image; and according to the image in the second region in the target image, removing the to-be-processed noise in the first region to obtain a denoised target image, wherein the second region is a region outside the first region in the target image. Therefore, the noise in a sample on which the denoising model is based is not manually added, butthe noise acquired by the image acquisition device when the image acquisition device acquires the image of the real world, so that the training result of the denoising model is more accurate, and thedenoising of the denoising model can be more ideal.
Description
technical field [0001] The present application relates to the field of image technology, and more specifically, to an image processing method, device, electronic equipment, and computer-readable medium. Background technique [0002] Image denoising is a fundamental problem in computer vision and image processing. In the process of people acquiring images through image acquisition equipment, due to the physical constraints of the image acquisition equipment itself and the limitations of the external light environment, there is inevitably noise in the collected images, which affects the imaging quality. [0003] At present, the process of image noise reduction based on neural network is to pass a noisy image through a noise reduction model to obtain a noise-free image. The image samples required for the training noise of the noise reduction model are artificially added noise (for example, Gaussian white noise) to the original image to generate image samples for training the n...
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Login to View More IPC IPC(8): G06T5/00G06K9/00
CPCG06T2207/20081G06T2207/30201G06V40/171G06T5/70
Inventor 向天戈
Owner TENCENT TECH (SHENZHEN) CO LTD