Image Dynamic Range Expansion Using Threshold Segmentation
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Solution Overview
Problem
Conventional imaging display devices have limited dynamic ranges, leading to a significant difference between the images displayed and real-world scenes, resulting in a poor user experience.
Innovation Solution
A method involving thresholding segmentation to extend the dynamic range of images by associatively storing original images with thresholding segmentation results, allowing for dynamic range extension on the extended dynamic range areas, thereby generating images with a larger dynamic range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If a small aperture is used in the lens assembly, then depth of field is increased, but amount of light entering the lens is reduced
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the aperture size based on scene characteristics. The processor determines whether to use a first aperture (smaller) for scenes requiring greater depth of field or a second aperture (larger) for scenes requiring more light, thereby optimizing the balance between depth of field and light intake according to specific shooting conditions
2Reliability
If a first lens assembly with specific focal length is used, then optical performance is optimized, but device size increases
Solution Approach 1:
The patent applies segmentation by dividing the imaging system into multiple lens assemblies, each with different focal lengths and optimized for specific scenarios. Instead of using a single large lens assembly that would compromise optical performance, the system segments functionality across multiple smaller lens units, allowing optimal optical performance for different shooting conditions while maintaining compact device size
Solution Approach 2:
The patent applies dynamics by implementing a switchable lens assembly configuration where the processor selectively activates different lens assemblies based on shooting requirements. This dynamic selection allows the system to optimize optical performance for specific scenarios without permanently incorporating all possible lens configurations, thereby reducing overall device size
Data Source
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AI summary
This application relates to the image processing field, and provides a method for extending a dynamic range of an image and an electronic device, to extend a dynamic range of an image. The method includes: obtaining original image information, where the original image information includes an original image and brightness level information; obtaining, based on the brightness level information included in the original image information and a brightness threshold, a thresholding segmentation result corresponding to the original image, where the thresholding segmentation result includes area class labels corresponding to pixels in the original image, the area class labels are used to indicate classes of areas corresponding to the pixels in the original image, the areas include a standard dynamic range area and an extended dynamic range area, a brightness value corresponding to a pixel in the standard dynamic range area is less than the brightness threshold, and a brightness value corresponding to a pixel in the extended dynamic range area is greater than or equal to the brightness threshold; and performing dynamic range extension on the extended dynamic range area in the original image based on the thresholding segmentation result corresponding to the original image, to obtain an extended dynamic range image corresponding to the original image.