Image processing method and apparatus for repair processing on a color image

An image processing apparatus, comprising:

• a memory storing instructions;
• and
• at least one processor in communication with the memory, wherein the at least one processor is configured, upon execution of the instructions, to perform the following-steps:
• obtain a first depth map and a color image, the first depth map and the color image being for a same scene;
• determine an atmospheric light value;
• perform depth completion on the first depth map to obtain a second depth map, wherein performing the depth completion on the first depth map to obtain the second depth map comprises:
• providing the color image and a second intermediate feature image to a first deep neural network to obtain a third depth map, wherein the second intermediate feature image is generated at an intermediate layer of a second deep neural network;
• providing the first depth map and a first intermediate feature image to the second deep neural network to obtain a fourth depth map, wherein the first intermediate feature image is generated at an intermediate layer of the first deep neural network;
• and
• performing a fusion operation on the third depth map and the fourth depth map to obtain the second depth map;
• determine a transmittance based on the second depth map;
• and
• perform repair processing on the color image based on the atmospheric light value and the transmittance.

A non-transitory computer-readable medium having processor-executable instructions stored thereon for image processing, wherein the processor-executable instructions, when executed, facilitate performance of the following:

• obtaining a first depth map and a color image, the first depth map and the color image being for a same scene;
• determining an atmospheric light value;
• performing depth completion on the first depth map to obtain a second depth map, wherein performing the depth completion on the first depth map to obtain the second depth map comprises:
• providing the color image and a second intermediate feature image to a first deep neural network to obtain a third depth map, wherein the second intermediate feature image is generated at an intermediate layer of a second deep neural network;
• providing the first depth map and a first intermediate feature image to the second deep neural network to obtain a fourth depth map, wherein the first intermediate feature image is generated at an intermediate layer of the first deep neural network;
• and
• performing a fusion operation on the third depth map and the fourth depth map to obtain the second depth map;
• determining a transmittance based on the second depth map;
• and
• performing repair processing on the color image based on the atmospheric light value and the transmittance.