2D Image Sensor Panel for Oversize Document Reconstruction
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Solution Overview
Problem
Current document imaging systems using one-dimensional array sensors face challenges in reconstructing high-quality images of 'oversize' documents, as they require accurate spatial encoding and struggle when the image sensor panel's dimensions are smaller than the document, leading to distorted images.
Innovation Solution
A 2D imaging device with a 2D array of photosensitive pixels on a transparent substrate, integrated into mobile devices, captures a series of frames and stitches them together using spatial alignment and encoding data to reconstruct a complete document image without the need for a separate spatial encoder.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a one-dimensional array sensor is used for document imaging, then the device complexity is reduced, but the image quality and accuracy deteriorate due to distorted images and requirement for accurate spatial encoding
Solution Approach 1:
The patent transitions from one-dimensional array sensors to two-dimensional image sensor panels, adding a spatial dimension to the sensing array. This enables simultaneous capture of multiple spatial positions across the document surface, eliminating the need for sequential scanning and spatial encoding while dramatically improving image quality and reducing distortion.
2Adaptability or versatility
If the image sensor panel dimensions are made smaller to fit mobile devices, then the adaptability to portable platforms is improved, but the ability to capture complete oversize documents deteriorates
Solution Approach 1:
The patent divides the document imaging task into multiple sequential snapshots captured by a small 2D sensor panel. The document is captured in segments across multiple frames, which are then stitched together computationally to form a complete high-resolution image, enabling small sensors to capture large documents effectively.
Solution Approach 2:
By using a 2D array sensor instead of 1D, the system captures spatial information in both dimensions simultaneously, enabling more efficient coverage of large document areas with fewer snapshots and improving the effectiveness of the segmentation approach.
3Measurement precision
If a separate spatial encoder is added to achieve accurate spatial positioning, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The 2D image sensor panel inherently captures spatial position information for all pixels simultaneously in each snapshot. The sensor array itself provides the spatial encoding function that would otherwise require separate encoders, as each pixel's position in the 2D array directly corresponds to its location on the document surface.
Solution Approach 2:
The transition to 2D sensing provides inherent two-dimensional spatial information, eliminating the need for separate spatial encoders that would be required with 1D sensors. The additional spatial dimension in the sensor array naturally provides the positioning data needed for accurate document reconstruction.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables high-quality, on-the-go imaging of 'oversize' documents by eliminating the need for spatial encoders and ensuring accurate alignment and stitching of frames, resulting in undistorted and complete digital reproductions.
Implementation Method 1
a two-dimensional array of photosensitive pixels, a.k.a., an image sensor panel (ISP)
Data Source
AI summary
In one aspect, the present disclosure provides an electronic device having a light source, a two-dimensional photosensor, the photosensor and the light source being stacked on top of each other, and a non-transitory computer readable memory. In one example, the mobile electronic device is configured to: capture two or more frames using the photosensor while light is emitted from the light source, identify common features in neighboring frames of said two or more frames, combine said two or more frames into an image based on the common features, such that the common features are spatially collocated in the image, and record the image to the memory.