18274928. IMAGE PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE AND MEDIUM simplified abstract (BEIJING BYTEDANCE NETWORK TECHNOLOGY CO., LTD.)

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IMAGE PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE AND MEDIUM

Organization Name

BEIJING BYTEDANCE NETWORK TECHNOLOGY CO., LTD.

Inventor(s)

Yitian Xu of Beijing (CN)

IMAGE PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE AND MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18274928 titled 'IMAGE PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE AND MEDIUM

Simplified Explanation

The image processing method described in the abstract involves synthesizing images of an object captured at different exposures to improve the quality of the final image. By determining luminance values and weights for each pixel of the input images, the method enhances the user experience by producing a more visually appealing synthesized image.

  • Obtaining at least two images of an object captured at different exposures
  • Determining the luminance value of each input image
  • Calculating the luminance weight for each pixel of the input images
  • Performing image synthesis processing based on the luminance values and weights to generate a target image

Potential Applications

This technology can be applied in various fields such as photography, image editing software, and computer vision systems.

Problems Solved

This technology addresses the challenge of producing high-quality images by synthesizing multiple images captured at different exposures.

Benefits

The method improves the quality of synthesized images and enhances the user experience by creating visually appealing final images.

Potential Commercial Applications

  • Photography software development
  • Image editing applications
  • Computer vision systems

Possible Prior Art

One possible prior art could be the use of exposure fusion techniques in image processing to enhance image quality.

What are the potential limitations of this image processing method?

The potential limitations of this image processing method could include increased computational complexity, especially when dealing with a large number of input images. Additionally, the effectiveness of the method may vary depending on the quality and characteristics of the input images.

How does this image processing method compare to existing techniques in terms of computational efficiency?

This image processing method may require more computational resources compared to simpler techniques due to the calculation of luminance values and weights for each pixel of the input images. However, the trade-off is improved image quality and user experience, which may justify the increased computational cost.


Original Abstract Submitted

Provided are image processing method and apparatus, an electronic device, and a computer-readable storage medium. The image processing method includes: obtaining at least two to-be-synthesized images, in which the at least two to-be-synthesized images are images of an object captured at different exposures; determining an image luminance value of each of the at least two to-be-synthesized images; determining, for each of the at least two to-be-synthesized images, a luminance weight of each pixel of the to-be-synthesized image based on the image luminance value of the to-be-synthesized image and a luminance value of each pixel of the to-be-synthesized image; and obtaining a target image by performing image synthesis processing based on the luminance value of each pixel of the at least two to-be-synthesized images and the luminance weight of each pixel of the at least two to-be-synthesized images. The method can improve quality of the synthesized image and user experience

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