Raw RGB Image Processing for HDR Wide Color Gamut Output
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Solution Overview
Problem
Current computing devices struggle to generate high dynamic range (HDR) and wide color gamut (WCG) images from raw RGB images without modifying the image sensor hardware, as they are typically optimized for standard dynamic range (SDR) digital image capture.
Innovation Solution
Applying multiple color transform operations to raw RGB images, including wide-gamut RGB color space transforms and gamma correction, to produce HDR/WCG images, which can be stored or displayed as 10-bit, 12-bit, or higher bit-depth outputs, such as UHD, WCG, HDR10, or HDR12, without requiring hardware modifications to the image sensor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple color transform operations are applied to raw RGB images to generate HDR/WCG images, then image quality and color gamut are improved, but processing complexity increases
Solution Approach 1:
The patent applies multiple color transform operations (including wide-gamut RGB color space transforms and gamma correction) as preliminary processing steps to convert raw RGB images into HDR/WCG images. This preliminary action enables the image sensor to produce high-quality output with extended color gamut and dynamic range before further processing or display, resolving the contradiction by establishing the transformation workflow in advance.
Solution Approach 2:
The patent changes key image parameters through color transform operations, specifically transforming the color space from standard RGB to wide-gamut RGB and adjusting gamma values to achieve HDR output. These parameter changes enable the generation of 10-bit, 12-bit, or higher bit-depth images with expanded color ranges and improved image quality, directly addressing the manufacturing precision improvement while managing processing complexity through systematic parameter transformation.
2Adaptability or versatility
If HDR/WCG image processing is implemented without modifying image sensor hardware, then device compatibility is improved, but processing capability is limited
Solution Approach 1:
The patent replaces hardware modifications with software-based color transform operations. Instead of physically modifying the image sensor to achieve HDR/WCG capability, the system uses computational methods including wide-gamut color space transforms and gamma correction to achieve the same effect. This substitution maintains device compatibility while achieving the desired processing capability through algorithmic transformation of the captured image data.
Solution Approach 2:
The patent implements a universal processing approach that can be applied to images from existing image sensors without requiring hardware modifications. The color transform operations and gamma correction procedures are designed to work with standard raw RGB images from various devices, enabling broad device compatibility. This multi-functional approach allows the same processing pipeline to handle different input images and produce HDR/WCG output across diverse device platforms.
Data Source
AI summary
Described are examples for generating high dynamic range (HDR)/wide color gamut (WCG) output from an image sensor. A raw red, green, blue (RGB) image obtained by the image sensor can be received. A plurality of color transform operations can be applied to the raw RGB image to generate a HDR/WCG image. The HDR/WCG image can be stored in a memory, displayed on a display, transmitted to another device, etc.