17587309. SYSTEM AND METHOD FOR MULTI-EXPOSURE, MULTI-FRAME BLENDING OF RED-GREEN-BLUE-WHITE (RGBW) IMAGES simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)
Contents
SYSTEM AND METHOD FOR MULTI-EXPOSURE, MULTI-FRAME BLENDING OF RED-GREEN-BLUE-WHITE (RGBW) IMAGES
Organization Name
Inventor(s)
Long N. Le of Richardson TX (US)
Hamid R. Sheikh of Allen TX (US)
John W. Glotzbach of Allen TX (US)
SYSTEM AND METHOD FOR MULTI-EXPOSURE, MULTI-FRAME BLENDING OF RED-GREEN-BLUE-WHITE (RGBW) IMAGES - A simplified explanation of the abstract
This abstract first appeared for US patent application 17587309 titled 'SYSTEM AND METHOD FOR MULTI-EXPOSURE, MULTI-FRAME BLENDING OF RED-GREEN-BLUE-WHITE (RGBW) IMAGES
Simplified Explanation
The patent application describes a method for generating high-quality images by using multiple images of a scene captured by a red-green-blue-white (RGBW) image sensor. The method involves several steps, including motion estimation, saturation estimation, and image processing.
- The method starts by capturing multiple images of a scene using an RGBW image sensor.
- Multi-channel frames at different exposure levels are generated from the captured images.
- Motion across exposure differences is estimated using the white channel of the multi-channel frames as a guidance signal, resulting in multiple motion maps.
- Saturation across exposure differences is also estimated, generating multiple saturation maps.
- The motion maps and saturation maps are then used to recover saturations from the different exposure levels, resulting in a saturation-free RGBW frame.
- The saturation-free RGBW frame is further processed to generate a final image of the scene.
Potential applications of this technology:
- Photography: The method can be used to capture high-quality images with accurate colors and reduced motion blur.
- Video recording: The technology can be applied to video recording devices to improve the quality of recorded videos.
- Computer vision: The method can be used in computer vision applications that require accurate color representation and motion estimation.
Problems solved by this technology:
- Motion blur: The method addresses the issue of motion blur by estimating motion across different exposure levels and generating motion maps.
- Color accuracy: By estimating saturation across exposure differences and recovering saturations, the method improves the color accuracy of the final image.
- Image quality: The technology enhances the overall image quality by reducing motion blur and improving color representation.
Benefits of this technology:
- Improved image quality: The method allows for the generation of high-quality images with accurate colors and reduced motion blur.
- Enhanced color accuracy: By estimating and recovering saturations, the technology improves the color representation in the final image.
- Versatility: The method can be applied to various imaging devices and computer vision applications, providing a wide range of potential uses.
Original Abstract Submitted
A method includes obtaining multiple images of a scene using at least one red-green-blue-white (RGBW) image sensor. The method also includes generating multi-channel frames at different exposure levels from the images. The method further includes estimating motion across exposure differences between the different exposure levels using a white channel of the multi-channel frames as a guidance signal to generate multiple motion maps. The method also includes estimating saturation across the exposure differences between the different exposure levels to generate multiple saturation maps. The method further includes using the generated motion maps and saturation maps to recover saturations from the different exposure levels and generate a saturation-free RGBW frame. In addition, the method includes processing the saturation-free RGBW frame to generate a final image of the scene.
