Scalar-Based Pixel Blending for High-Dynamic Range Imaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional digital photography systems are limited by the dynamic range of image sensors, which can result in images with inadequate brightness and detail in both bright and dark areas, leading to suboptimal high-dynamic range (HDR) images.
Innovation Solution
A system and method for blending pixels with different exposure attributes, using a scalar-based blending process that combines brighter and darker pixels to create a high dynamic range (HDR) pixel, allowing for the generation of images with a wider dynamic range by aligning and mixing pixel attributes such as intensity, saturation, and color space values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If multiple exposures are captured and merged to create HDR images, then the dynamic range is improved, but the processing complexity increases
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the scalar value based on pixel attributes (brightness, saturation, color space values) to control the blending process. This allows the system to adaptively merge multiple exposures with different parameters, resolving the contradiction by using parameter-based control to manage processing complexity while achieving improved dynamic range
Solution Approach 2:
The blending process is made dynamic through the use of a scalar that varies based on local pixel characteristics. Rather than applying a fixed blending approach to all pixels, the system dynamically adjusts the contribution of brighter and darker pixels on a per-pixel basis, enabling efficient processing while maintaining high dynamic range quality
2Manufacturing precision
If pixels are blended based on multiple attributes (intensity, saturation, color space), then image quality is improved, but the computational requirements increase
Solution Approach 1:
The patent uses parameter changes by computing a scalar based on multiple pixel attributes (intensity, saturation, color space values) and using this scalar to control the blending operation. This approach improves image quality by considering multiple parameters simultaneously while managing computational requirements through efficient scalar-based control
Solution Approach 2:
The system applies partial action by selectively blending pixels based on their attributes. The scalar determines the degree of blending, allowing the system to process only the necessary portion of pixel data at full complexity, thereby improving image quality where needed while reducing unnecessary computational overhead
Data Source
AI summary
A system, method, and computer program product are provided for high-dynamic range images. In use, a first pixel attribute of a first pixel is received and a second pixel attribute of a second pixel is received. Next, a scalar based on the first pixel attribute and the second pixel attribute is identified. Finally, the first pixel and the second pixel are blended, based on the scalar, wherein the first pixel is brighter than the second pixel. Additional systems, methods, and computer program products are also presented.