Samsung electronics co., ltd. (20240107181). COLOR FILTER SPECTRUM OPTIMIZATION METHOD AND ELECTRONIC APPARATUS PERFORMING THE SAME simplified abstract

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COLOR FILTER SPECTRUM OPTIMIZATION METHOD AND ELECTRONIC APPARATUS PERFORMING THE SAME

Organization Name

samsung electronics co., ltd.

Inventor(s)

Geonwoo Kim of Suwon-si (KR)

Sung Kwang Cho of Suwon-Si (KR)

Yang Ho Cho of Suwon-si (KR)

Dong Kyung Nam of Suwon-si (KR)

COLOR FILTER SPECTRUM OPTIMIZATION METHOD AND ELECTRONIC APPARATUS PERFORMING THE SAME - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240107181 titled 'COLOR FILTER SPECTRUM OPTIMIZATION METHOD AND ELECTRONIC APPARATUS PERFORMING THE SAME

Simplified Explanation

The optimization method described in the abstract involves analyzing differences in color spectrums and images, calculating cost values based on various information, and updating filter spectrum information or color transformation matrices accordingly.

  • Determining differences in color spectrums and images
  • Calculating cost values based on the analyzed information
  • Updating filter spectrum information or color transformation matrices based on the calculated cost values

Potential Applications

This technology could be applied in various industries such as photography, image processing, and display technology.

Problems Solved

This technology helps in optimizing color filter spectrums and color transformation matrices to improve image quality and accuracy.

Benefits

The benefits of this technology include enhanced image quality, improved color accuracy, and optimized color transformation processes.

Potential Commercial Applications

One potential commercial application of this technology could be in the development of advanced image processing software for professional photographers and graphic designers.

Possible Prior Art

One possible prior art for this technology could be existing methods for color calibration and image enhancement in digital imaging software.

Unanswered Questions

How does this technology compare to existing optimization methods in terms of efficiency and accuracy?

This article does not provide a direct comparison with existing optimization methods in terms of efficiency and accuracy.

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

This article does not address the potential limitations or constraints of implementing this technology in real-world applications.


Original Abstract Submitted

an optimization method includes determining first information related to a difference between the color filter spectrum and the color spectrum or a difference between an image transformed by the color transformation matrix and a ground truth (gt) image in the reset color space, determining second information representing smoothness of the color filter spectrum, third information representing a transmittance of the color filter spectrum, calculating a cost value based on the first information, the second information, and the third information, compare the calculated cost value and a threshold, and updating one of the filter spectrum information and the color transformation matrix in response to the calculated cost value being equal to or greater than the threshold.