Samsung electronics co., ltd. (20240193727). METHOD AND APPARATUS WITH FRAME IMAGE RECONSTRUCTION simplified abstract

METHOD AND APPARATUS WITH FRAME IMAGE RECONSTRUCTION

Organization Name

samsung electronics co., ltd.

Inventor(s)

Hyeonseung Yu of Suwon-si (KR)

Nahyup Kang of Suwon-si (KR)

Hanjun Kim of Suwon-si (KR)

Jaeyoung Moon of Suwon-si (KR)

Juyoung Lee of Suwon-si (KR)

Hwiryong Jung of Suwon-si (KR)

Inwoo Ha of Suwon-si (KR)

Seokpyo Hong of Suwon-si (KR)

METHOD AND APPARATUS WITH FRAME IMAGE RECONSTRUCTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240193727 titled 'METHOD AND APPARATUS WITH FRAME IMAGE RECONSTRUCTION

The abstract of the patent application describes a method involving the generation of a semantic map to indicate visualization properties assigned to objects in a frame image, followed by the generation of a reconstruction image using a machine learning model based on the obtained frame image and semantic map.

• Semantic map generated to indicate visualization properties of objects in a frame image
• Reconstruction image created using a machine learning model based on the frame image and semantic map
• Second object with visualization properties indicated by the semantic map included in the reconstruction image

Potential Applications: - Image reconstruction in various industries such as healthcare, surveillance, and entertainment - Enhancing visual quality and detail in images for analysis and presentation purposes

Problems Solved: - Improving the accuracy and efficiency of image reconstruction processes - Enhancing the visualization of objects in images with varying resolutions

Benefits: - Enhanced image quality and detail - Improved accuracy in object visualization and analysis - Efficient image reconstruction process

Commercial Applications: Title: Enhanced Image Reconstruction Technology for Various Industries Description: This technology can be utilized in medical imaging, security surveillance, and media production industries to improve image quality and analysis capabilities.

Prior Art: Research on machine learning models for image reconstruction and semantic mapping techniques in computer vision can provide insights into related technologies.

Frequently Updated Research: Stay updated on advancements in machine learning algorithms for image reconstruction and semantic mapping in computer vision research.

Questions about Image Reconstruction Technology: 1. How does this technology improve the accuracy of image reconstruction processes? 2. What are the potential applications of this technology in different industries?

Original Abstract Submitted

a processor implemented method includes generating a semantic map indicating a visualization property assigned to an object of an obtained frame image having a first resolution and generating a reconstruction image using an image reconstruction machine learning model provided input based on the obtained frame image and the semantic map having a second resolution and including a second object having a visualization property indicated by the semantic map.