Intel Corporation

Tao Lv

Anbang Yao

Feng Chen

Xiaoming Chen

Yang Liu

Shandong Wang

Ming Lu

Yikai Wang

Junjie Huang

Zhiming Wang

Yuanke Luo

Zhiqiao Zheng

Embodiments are generally directed to an adaptive deformable kernel prediction network for image de-noising. An embodiment of a method for de-noising an image by a convolutional neural network implemented on a compute engine, the image including a plurality of pixels, the method comprising: for each of the plurality of pixels of the image, generating a convolutional kernel having a plurality of kernel values for the pixel; generating a plurality of offsets for the pixel respectively corresponding to the plurality of kernel values, each of the plurality of offsets to indicate a deviation from a pixel position of the pixel; determining a plurality of deviated pixel positions based on the pixel position of the pixel and the plurality of offsets; and filtering the pixel with the convolutional kernel and pixel values of the plurality of deviated pixel positions to obtain a de-noised pixel.

Adaptive deformable kernel prediction network for image de-noising

Growing community of inventors

Shanghai, China

Tao Lv