Abstract: An image processing method and an image processing apparatus are provided. In the method, first encoding is performed on an input image, to output a first noisy image. De-noising is performed on the first noisy image, to output a first de-noised image. De-noising is performed on the input image according to the first de-noised image, to output a first image.

Abstract: A computing circuit and a data processing method based on a convolutional neural network and a computer readable storage medium are provided. Input data is obtained from a memory. A first computation is performed on first part data of the input data to obtain first output data. The first output data is buffered in a first buffer. When the buffered first output data is greater than a first predetermined data amount, a second computation is performed on the first output data to obtain second output data. The second output data is buffered in a second buffer. Third output data obtained by performing a third computation on the second output data is output to the memory. When performing the second computation on the first output data, the first computation is continuously performed on the input data. Accordingly, the number of accesses of the memory can be reduced.