Image processing method and system for convolutional neural network
Abstract:
A system is adapted to perform an image processing method. The processing method includes: obtaining input image data, a first training result, a second training result, and an interpolation lookup table; segmenting the input image data into a plurality of feature blocks according to a total quantity of area interpolations; establishing a position mapping relationship to record the feature blocks corresponding to positions of all of the area interpolations; assigning corresponding area interpolations to the feature blocks according to the position mapping relationship; obtaining an interpolation parameter for each of the feature blocks according to the first training result, the second training result, and the area interpolation; performing block convolution on each of the interpolation parameters and the corresponding feature block to obtain an output feature result; and obtaining an output image by combining the output feature results according to the position mapping relationship.
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