US 11,893,708 B2 · Image processing method and apparatus, device, and storage medium

Abstract

Provided are an image processing method and apparatus, a device, and a storage medium, relating to the technical field of image processing, in particular to the artificial intelligence fields such as computer vision and deep learning. The specific implementation scheme is as follows: inputting a to-be-processed image into an encoding network to obtain a basic image feature, wherein the encoding network includes at least two cascaded overlapping encoding sub-networks which perform encoding and fusion processing on input data at at least two resolutions; and inputting the basic image feature into a decoding network to obtain a target image feature for pixel point classification, wherein the decoding network includes at least one cascaded overlapping decoding sub-network to perform decoding and fusion processing on input data at at least two resolutions respectively.

Claims19

Dependent claims

An image processing method, comprising:

inputting a to-be-processed image into an encoding network to obtain a basic image feature, wherein the encoding network comprises at least two cascaded overlapping encoding sub-networks, wherein each of non-head overlapping encoding sub-networks of the at least two overlapping encoding sub-networks performs encoding and fusion processing on input data of the each of non-head overlapping encoding sub-networks at at least two resolutions;
and
inputting the basic image feature into a decoding network to obtain a target image feature for pixel point classification, wherein the decoding network comprises at least one cascaded overlapping decoding sub-network, wherein each overlapping decoding sub-network of the at least one cascaded overlapping decoding sub-network performs decoding and fusion processing on input data of the each overlapping decoding sub-network at at least two resolutions.

An image processing apparatus, comprising a processor and a memory for storing execution instructions that when executed by the processor cause the processor to perform steps in following modules:

a basic image feature obtaining module, which is configured to input a to-be-processed image into an encoding network to obtain a basic image feature, wherein the encoding network comprises at least two cascaded overlapping encoding sub-networks, wherein each overlapping encoding sub-network of the at least two overlapping encoding sub-networks performs encoding and fusion processing on input data of the each overlapping encoding sub-network at at least two resolutions;
and
a target image feature obtaining module, which is configured to input the basic image feature into a decoding network to obtain a target image feature for pixel point classification, wherein the decoding network comprises at least one cascaded overlapping decoding sub-network, wherein each overlapping decoding sub-network of the at least one cascaded overlapping decoding sub-network performs decoding and fusion processing on input data of the each overlapping decoding sub-network at at least two resolutions.

Dependencies are inferred from the claim text.

Image processing method and apparatus, device, and storage medium

Life of this patent

Image processing method and apparatus, device, and storage medium

Life of this patent

Abstract

Claims19