18200361. ELECTRONIC DEVICE AND METHOD FOR GENERATING IMAGE WITH ENHANCED DEPTH PERCEIVED BY VIEWER simplified abstract (Samsung Electronics Co., Ltd.)
Contents
ELECTRONIC DEVICE AND METHOD FOR GENERATING IMAGE WITH ENHANCED DEPTH PERCEIVED BY VIEWER
Organization Name
Inventor(s)
Youngchan Song of Suwon-si (KR)
ELECTRONIC DEVICE AND METHOD FOR GENERATING IMAGE WITH ENHANCED DEPTH PERCEIVED BY VIEWER - A simplified explanation of the abstract
This abstract first appeared for US patent application 18200361 titled 'ELECTRONIC DEVICE AND METHOD FOR GENERATING IMAGE WITH ENHANCED DEPTH PERCEIVED BY VIEWER
Simplified Explanation
The patent application describes an electronic device that uses a deep neural network to enhance the depth perception of an image for a viewer.
- The device includes a memory storing instructions and a processor to execute the instructions.
- The processor receives an input image and a control parameter to adjust the level of at least one pictorial depth cue in the image.
- The processor generates an output image with the adjusted level of the pictorial depth cue using the deep neural network.
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- Potential Applications
- Virtual reality systems
- Augmented reality applications
- Medical imaging technologies
- Problems Solved
- Enhancing depth perception in images
- Improving visual quality of images
- Providing a more immersive viewing experience
- Benefits
- Enhanced depth perception for viewers
- Improved realism in images
- Increased engagement in visual content
Original Abstract Submitted
An electronic device for generating an image with an enhanced depth as perceived by a viewer includes at least one memory storing instructions, and at least one processor configured to execute the instructions to receive an input image, receive a control parameter for adjusting a first level of at least one pictorial depth cue included in the input image, and generate an output image including the at least one pictorial depth cue at a second level that is adjusted from the first level based on the control parameter using a deep neural network.
