Samsung electronics co., ltd. (20240161237). ELECTRONIC DEVICE AND METHOD WITH IMAGE PROCESSING. simplified abstract

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ELECTRONIC DEVICE AND METHOD WITH IMAGE PROCESSING.

Organization Name

samsung electronics co., ltd.

Inventor(s)

Seungju Han of Suwon-si (KR)

Hui Li of Xi’an (CN)

ELECTRONIC DEVICE AND METHOD WITH IMAGE PROCESSING. - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240161237 titled 'ELECTRONIC DEVICE AND METHOD WITH IMAGE PROCESSING.

Simplified Explanation

The patent application describes an electronic device and a method for image processing, specifically for generating a super-resolution image of a face image using multiple encoders.

  • The method involves generating an initial image feature matrix and an initial face priori feature matrix of the face image based on multi-level feature maps.
  • The super-resolution image and/or key point coordinates of the face image are then generated using one or more encoders, which are cascaded if there are multiple encoders.

Potential Applications

This technology could be applied in:

  • Facial recognition systems
  • Medical imaging for dermatology
  • Video conferencing for enhanced image quality

Problems Solved

This technology addresses the following issues:

  • Enhancing image resolution for clearer identification
  • Improving image quality for various applications
  • Enhancing facial feature detection accuracy

Benefits

The benefits of this technology include:

  • Improved image quality
  • Enhanced facial recognition accuracy
  • Better performance in various image processing applications

Potential Commercial Applications

A potential commercial application for this technology could be:

  • High-resolution cameras for smartphones and other devices

Possible Prior Art

One possible prior art for this technology could be:

  • Super-resolution image processing techniques used in satellite imaging.

Unanswered Questions

How does this technology compare to existing super-resolution methods in terms of computational efficiency?

This article does not provide information on the computational efficiency of the proposed method compared to existing super-resolution techniques. It would be interesting to know if the use of multiple encoders affects the processing speed and resource requirements.

What are the potential limitations or challenges of implementing this technology in real-world applications?

The article does not discuss any potential limitations or challenges that may arise when implementing this technology in practical settings. It would be important to understand any constraints or obstacles that could impact the effectiveness of the method in real-world scenarios.


Original Abstract Submitted

an electronic device and a processor-implemented method with image processing are provided. the processor-implemented method comprises generating an initial image feature matrix of a face image based on a multi-level feature map of the face image; generating an initial face priori feature matrix of the face image based on a final level feature map of the multi-level feature map; and generating a super-resolution image of the face image and/or key point coordinates of the face image by using one or more encoders, based on the initial image feature matrix and the initial face priori feature matrix, wherein, when the one or more encoders are plural encoders, they are cascaded.