Image processing method, system and apparatus, electronic device, and readable storage medium

An image processing system, comprising:

• a first chip;
• and a second chip, wherein the first chip and the second chip are different from each other, and the second chip is a chip dedicated to computation of a neural network model,
• wherein:
• the first chip is configured to calculate first data based on at least one padding pixel in an input image, a coefficient in one convolution kernel and in one-to-one correspondence with the at least one padding pixel, and an output bias corresponding to the one convolution kernel, wherein the input image is an input image of a deconvolution layer in the neural network model,
• the second chip is configured to calculate second data based on at least one non-padding pixel in the input image and a coefficient in the one convolution kernel and in one-to-one correspondence with the at least one non-padding pixel, and
• the second chip is further configured to calculate a pixel value of one output pixel based on the first data and the second data.

An electronic device, comprising:

• a processor;
• and a memory storing a program or instructions, wherein the program or instructions, when executed by the processor, causes the processor to perform operations comprising:
• calculating first data based on at least one padding pixel in an input image, a coefficient in one convolution kernel and in one-to-one correspondence with the at least one padding pixel, and an output bias corresponding to the one convolution kernel, wherein the input image is an input image of a deconvolution layer in a neural network model,
• calculating second data based on at least one non-padding pixel in the input image and a coefficient in the one convolution kernel and in one-to-one correspondence with the at least one non-padding pixel, and
• calculating a pixel value of one output pixel based on the first data and the second data.