Autofocusing via Combined Horizontal and Vertical Difference Images
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Solution Overview
Problem
Conventional phase-detection autofocus (PDAF) imaging systems in digital cameras falter in scenes with insufficient illumination, low contrast, and limited texture, making it difficult to achieve accurate focusing.
Innovation Solution
The method involves capturing images with a pixel array that includes horizontally-adjacent and vertically-adjacent pixel pairs, computing horizontal-difference and vertical-difference images, combining these to determine an image distance, and adjusting the distance between the pixel array and the lens to achieve focus, utilizing a processor and memory to execute these steps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional phase-detection autofocus is used, then focusing speed is improved, but focusing accuracy deteriorates in scenes with insufficient illumination, low contrast, and limited texture
Solution Approach 1:
The patent combines phase-detection autofocus and contrast autofocus into a unified system. The phase-detection module provides initial focusing speed, while the contrast module refines accuracy in challenging conditions. The system dynamically switches between or combines both methods based on scene characteristics, thereby achieving both fast focusing speed and high accuracy across diverse lighting and texture conditions.
Solution Approach 2:
The patent introduces an image processing module as an intermediary that analyzes scene characteristics (illumination, contrast, texture) and determines the appropriate focusing strategy. This mediator processes the raw image data and controls the switching between phase-detection and contrast autofocus modes, enabling the system to adapt to varying conditions and maintain both speed and accuracy.
2Measurement precision
If dedicated phase-detection sensor is included, then phase-detection autofocus capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent makes the image sensor multi-functional by enabling it to perform both image capture and phase-detection autofocus. By utilizing the existing pixel array for dual purposes through computational methods (comparing pixel responses to determine focus), the system eliminates the need for a separate dedicated phase-detection sensor, thereby reducing device complexity and cost while maintaining autofocus capability.
Solution Approach 2:
The patent replaces the mechanical/optical dedicated phase-detection sensor with a computational approach using the standard image sensor. Instead of relying on specialized hardware, the system uses software-based phase-detection algorithms that process images from the regular pixel array, substituting a complex mechanical system with a simpler computational solution.
Data Source
AI summary
An autofocusing method includes capturing an image of a scene with a camera that includes a pixel array; computing a horizontal-difference image, and a vertical-difference image; and combining the horizontal-difference image and the vertical-difference image to yield a combined image. The method also includes determining, from the combined image and the intensity image, an image distance with respect to a lens of the camera at which the camera forms an in-focus image. The pixel array includes horizontally-adjacent pixel pairs and vertically-adjacent pixel pairs each located beneath a respective microlens. The horizontal-difference image includes, for each horizontally-adjacent pixel pair, a derived pixel value that is an increasing function of a difference between pixel values generated by the horizontally-adjacent pixel pair. The vertical-difference image includes, for each vertically-adjacent pixel pair, a derived pixel value that is an increasing function of a difference between pixel values generated by the vertically-adjacent pixel pair.


