18116528. HOLOGRAM PROFILE OPTIMIZATION METHOD, HOLOGRAM PROFILE GENERATION DEVICE, AND HOLOGRAPHIC DISPLAY DEVICE TO WHICH HOLOGRAM PROFILE OPTIMIZATION METHOD IS APPLIED simplified abstract (Samsung Electronics Co., Ltd.)

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HOLOGRAM PROFILE OPTIMIZATION METHOD, HOLOGRAM PROFILE GENERATION DEVICE, AND HOLOGRAPHIC DISPLAY DEVICE TO WHICH HOLOGRAM PROFILE OPTIMIZATION METHOD IS APPLIED

Organization Name

Samsung Electronics Co., Ltd.

Inventor(s)

Seokil Moon of Suwon-si (KR)

Dongheon Yoo of Seoul (KR)

Changkun Lee of Suwon-si (KR)

Byoungho Lee of Seoul (KR)

Minseok Chae of Seoul (KR)

HOLOGRAM PROFILE OPTIMIZATION METHOD, HOLOGRAM PROFILE GENERATION DEVICE, AND HOLOGRAPHIC DISPLAY DEVICE TO WHICH HOLOGRAM PROFILE OPTIMIZATION METHOD IS APPLIED - A simplified explanation of the abstract

This abstract first appeared for US patent application 18116528 titled 'HOLOGRAM PROFILE OPTIMIZATION METHOD, HOLOGRAM PROFILE GENERATION DEVICE, AND HOLOGRAPHIC DISPLAY DEVICE TO WHICH HOLOGRAM PROFILE OPTIMIZATION METHOD IS APPLIED

Simplified Explanation

The patent application describes a method for optimizing hologram profiles. Here are the key points:

  • The method involves setting a first hologram profile as a variable.
  • An optimization cycle is performed a predetermined number of times.
  • In each optimization cycle, the first hologram profile is encoded into a binary hologram profile using an ApproxSign function.
  • The field value of a holographic image on a display surface is calculated for the binary hologram profile, taking into account the noise caused by high-order diffraction terms using a tiling function.
  • The intensity of the holographic image on the display surface is calculated.
  • A loss function value is calculated based on the difference between the intensity of the holographic image and the intensity of a target image.
  • The first hologram profile is updated to a second hologram profile based on the loss function value.

Potential applications of this technology:

  • Holographic displays: The method can be used to optimize hologram profiles for more accurate and realistic holographic images on display surfaces.
  • Virtual reality: By improving the quality of holographic images, the method can enhance the immersive experience in virtual reality applications.
  • Medical imaging: Optimized hologram profiles can be used to improve the visualization of medical images in holographic displays, aiding in diagnosis and treatment planning.

Problems solved by this technology:

  • Noise reduction: The method takes into account the high-order diffraction term noise in holographic images, resulting in cleaner and more accurate representations.
  • Optimization: By iteratively updating the hologram profile based on the loss function value, the method optimizes the holographic image to closely match the target image.

Benefits of this technology:

  • Improved image quality: The method ensures that holographic images have a higher fidelity and reduced noise, leading to more realistic and visually appealing representations.
  • Enhanced user experience: By optimizing hologram profiles, the method enhances the overall user experience in applications such as holographic displays and virtual reality.
  • Increased accuracy in medical imaging: Optimized hologram profiles can improve the accuracy and clarity of medical images, aiding healthcare professionals in making more informed decisions.


Original Abstract Submitted

A hologram profile optimization method includes: setting a first hologram profile as a variable; and performing an optimization cycle a predetermined number of times, wherein the optimization cycle includes encoding the first hologram profile into a binary hologram profile by using an ApproxSign function; calculating a field value of a holographic image on a display surface for the binary hologram profile, considering high-order diffraction term noise of the holographic image by using a tiling function; calculating an intensity of the holographic image on the display surface; calculating a loss function value based on a difference between the intensity of the holographic image and an intensity of a target image; and updating the first hologram profile to a second hologram profile based on the loss function value.

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