Light field super-resolution imaging method, device and equipment

Abstract

The present application provides a light field super-resolution imaging method, device and equipment. The method includes: inputting an image to be processed to a trained target network model to obtain a super-resolution image. Among them, the target network model is trained by the following methods: input the original image sequence to the initial network model to obtain the target image sequence; obtain the content loss value of the target image in the target image sequence and the sample image in the sample image sequence, and the target image sequence in the target image sequence The structural loss value of the sample image in the image and sample image sequence; determine whether the initial network model has converged according to the content loss value and the structural loss value; if so, determine the initial network model as the trained target network model; The model is adjusted, the adjusted network model is determined as the initial network model, and the execution returns to input the original image sequence to the initial network model to obtain the target image sequence. Through the technical solution of the present application, the resolution of the image is effectively improved.

Description

technical field

[0001] The present application relates to the field of image processing, in particular to a light field super-resolution imaging method, device and equipment. Background technique

[0002] The resolution of an image refers to the amount of information stored in the image, which is the number of pixels per inch of the image. The unit of resolution is PPI (Pixels Per Inch, pixels per inch). Obviously, the larger the resolution, the higher the resolution of the image. The higher the sharpness and the lower the resolution, the lower the sharpness of the image. In practical applications, the resolution of the image, the width of the image and the height of the image together determine the size and quality of the image.

[0003] With the development of super-resolution imaging technology, more and more application scenarios, such as automatic driving, medical imaging, satellite imaging, film and television, AR (Augmented Reality, augmented reality) / VR (Virtual Rea...

Examples

Embodiment Construction

[0053] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, rather than limiting the present application. As used in this application and the claims, the singular forms "a", "the" and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein is meant to include any and all possible combinations of one or more of the associated listed items.

[0054] It should be understood that although the embodiments of the present application may use terms such as first, second, and third to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of the present application, first information may also be called second information, and similarly, second ...

technical field

[0001] The present application relates to the field of image processing, in particular to a light field super-resolution imaging method, device and equipment. Background technique

[0002] The resolution of an image refers to the amount of information stored in the image, which is the number of pixels per inch of the image. The unit of resolution is PPI (Pixels Per Inch, pixels per inch). Obviously, the larger the resolution, the higher the resolution of the image. The higher the sharpness and the lower the resolution, the lower the sharpness of the image. In practical applications, the resolution of the image, the width of the image and the height of the image together determine the size and quality of the image.

[0003] With the development of super-resolution imaging technology, more and more application scenarios, such as automatic driving, medical imaging, satellite imaging, film and television, AR (Augmented Reality, augmented reality) / VR (Virtual Rea...

Examples

Embodiment Construction

[0053] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, rather than limiting the present application. As used in this application and the claims, the singular forms "a", "the" and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein is meant to include any and all possible combinations of one or more of the associated listed items.

[0054] It should be understood that although the embodiments of the present application may use terms such as first, second, and third to describe various information, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of the present application, first information may also be called second information, and similarly, second ...

Images