17688247. COLOR TRANSFORM METHOD, ELECTRONIC DEVICE FOR PERFORMING THE METHOD, AND IMAGE SENSOR simplified abstract (Samsung Electronics Co., Ltd.)
COLOR TRANSFORM METHOD, ELECTRONIC DEVICE FOR PERFORMING THE METHOD, AND IMAGE SENSOR
Organization Name
Inventor(s)
Yang Ho Cho of Seongnam-si (KR)
Dong Kyung Nam of Yongin-si (KR)
COLOR TRANSFORM METHOD, ELECTRONIC DEVICE FOR PERFORMING THE METHOD, AND IMAGE SENSOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 17688247 titled 'COLOR TRANSFORM METHOD, ELECTRONIC DEVICE FOR PERFORMING THE METHOD, AND IMAGE SENSOR
Simplified Explanation
The patent application describes a method for transforming colors in an image using an electronic device. Here are the key points:
- The method starts by applying a color transform to a raw image to generate an initial color transformed image.
- The noise amplification degrees, which indicate how much noise in the raw image is amplified by the color transform, are determined.
- The determined noise amplification degrees are processed.
- A final color transformed image is generated by filtering the initial color transformed image using the processed noise amplification degrees and either the raw image or its luminance information.
Potential applications of this technology:
- Image processing and editing software
- Digital cameras and smartphones
- Video editing and color grading tools
Problems solved by this technology:
- Color transformation can introduce noise in an image, which can degrade its quality.
- Existing methods may not effectively handle noise amplification caused by color transform.
Benefits of this technology:
- Improved image quality by reducing noise amplification during color transformation.
- More accurate color representation in transformed images.
- Enhanced visual experience in various applications involving color transformation.
Original Abstract Submitted
Disclosed is a color transform method performed by an electronic device that includes generating an initial color transformed image by performing color transform on a raw image, determine noise amplification degrees indicating degrees to which noise included in the raw image is amplified by the color transform, processing the determined noise amplification degrees, and generating a final color transformed image by filtering the generated initial color transformed image using the processed noise amplification degrees and at least one of the raw image or luminance information of the raw image.
