Image Sensor Resolution Reduction for Real-Time Document Capture
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Solution Overview
Problem
High-resolution image capture with increasing pixel density in digital devices leads to processing delays, as higher pixel values require more processing time, making it challenging to efficiently capture and process images in real-time applications.
Innovation Solution
The system generates a reduced resolution frame by combining information from multiple pixels, identifies transition pairs and linear features, and provides an indication of these features to facilitate rapid document capture and processing, allowing for real-time image processing and feature detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If higher density image sensor arrays with increased number of pixels are used, then image resolution is improved, but processing time increases
Solution Approach 1:
The patent divides the image processing task into multiple stages: first processing a reduced resolution frame to identify candidate regions, then processing only those specific regions at full resolution. This segmentation allows the system to maintain high resolution where needed while reducing overall processing time by avoiding full-frame high-resolution processing.
Solution Approach 2:
The patent applies partial action by processing only a portion of the image at full resolution rather than the entire frame. The system identifies candidate regions in a reduced resolution frame and then performs detailed processing only on those specific areas, reducing total processing time while maintaining quality where necessary.
2Loss of information
If color image sensor arrays are used, then image information is improved, but data volume increases
Solution Approach 1:
The patent segments the color image processing by first analyzing a reduced resolution version to identify regions of interest, then applying full color processing only to those identified regions. This approach preserves complete color information where needed while reducing overall data volume by avoiding full-color processing of the entire frame.
3Measurement precision
If higher resolution image processing is performed, then image quality is improved, but processing speed decreases
Solution Approach 1:
The patent implements partial action by performing high-resolution processing only on identified candidate regions rather than the entire image frame. The system first processes a reduced resolution frame to locate potential features, then applies computationally intensive high-resolution processing only to those specific areas, maintaining image quality while improving processing speed.
Solution Approach 2:
The patent applies preliminary action by first processing the reduced resolution frame to identify candidate regions before performing high-resolution processing. This preliminary identification step allows the system to prepare and focus computational resources on specific areas of interest, improving overall processing efficiency while maintaining quality.
Data Source
AI summary
Devices, methods, and software are disclosed for capturing a frame of image data having a representation of a feature. In an illustrative embodiment, a device includes an imaging subsystem, one or more memory components, and a processor. The imaging subsystem is capable of providing image data representative of light incident on said imaging subsystem. The one or more memory components include at least a first memory component operatively capable of storing an input frame of the image data. The processor is in communicative connection with executable instructions for enabling the processor for various steps. One step includes receiving the input frame from the first memory component. Another step includes generating a reduced resolution frame based on the input frame, the reduced resolution frame comprising fewer pixels than the input frame, in which a pixel in the reduced resolution frame combines information from two or more pixels in the input frame.