View source for 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.)

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


==Organization Name==

[[:Category:Samsung Electronics Co., Ltd.|Samsung Electronics Co., Ltd.]]


[[Category:Samsung Electronics Co., Ltd.]]

==Inventor(s)==

[[:Category:Seokil Moon of Suwon-si (KR)|Seokil Moon of Suwon-si (KR)]][[Category:Seokil Moon of Suwon-si (KR)]]

[[:Category:Dongheon Yoo of Seoul (KR)|Dongheon Yoo of Seoul (KR)]][[Category:Dongheon Yoo of Seoul (KR)]]

[[:Category:Changkun Lee of Suwon-si (KR)|Changkun Lee of Suwon-si (KR)]][[Category:Changkun Lee of Suwon-si (KR)]]

[[:Category:Byoungho Lee of Seoul (KR)|Byoungho Lee of Seoul (KR)]][[Category:Byoungho Lee of Seoul (KR)]]

[[:Category:Minseok Chae of Seoul (KR)|Minseok Chae of Seoul (KR)]][[Category: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.



[[Category:G03H1/32]]
[[Category:G03H1/26]]
[[Category:G06T7/168]]
[[Category:G06T5/00]]