Image Processor Address Mapping for Dewarping and Perspective Correction
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Solution Overview
Problem
Existing digital image processing methods require significant processing power and hardware to perform dewarping and perspective correction, which can be inefficient and cumbersome, especially in compact imaging devices like cameras with system-on-chip technology.
Innovation Solution
Implementing a spatially and temporally efficient image processor with an address mapping unit and interpolation filter that maps pixel values from a captured image to a dewarped and perspective-corrected image using a single level of processing, allowing for smaller camera systems by rearranging image data to account for warping and perspective changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional dewarping and perspective correction methods are used, then image quality is improved, but processing complexity and hardware requirements increase significantly
Solution Approach 1:
The patent segments the image processing task into distinct stages: capturing raw image data, applying address mapping transformations, and generating corrected output images. This segmentation allows each stage to be optimized independently, reducing overall processing complexity while maintaining image quality.
Solution Approach 2:
The patent applies preliminary address mapping transformations to the raw image data before final image generation. By pre-calculating and applying the transformation parameters, the system avoids complex real-time processing during image capture, thereby reducing processing complexity while preserving dewarping and perspective correction quality.
2Measurement precision
If traditional dewarping and perspective correction methods are used, then image quality is improved, but hardware requirements and system size increase
Solution Approach 1:
The patent merges the dewarping and perspective correction functions into a unified image processing pipeline that operates within the existing camera system architecture. By combining these functions rather than implementing them as separate hardware components, the system achieves the required image quality without significantly increasing system size.
Solution Approach 2:
The patent implements a universal address mapping unit that can perform both dewarping and perspective correction operations using the same hardware resources. This multi-functional approach allows a single processing unit to handle multiple image correction tasks, reducing the overall hardware requirements and system size while maintaining image quality.
3Measurement precision
If traditional dewarping and perspective correction methods are used, then processing accuracy is improved, but processing time increases
Solution Approach 1:
The patent employs periodic action by pre-calculating address mapping parameters and applying them in discrete processing stages. This approach allows the system to perform accurate dewarping and perspective correction through structured, periodic processing steps rather than continuous complex calculations, thereby reducing processing time while maintaining accuracy.
Solution Approach 2:
The patent performs preliminary calculations of transformation parameters before actual image processing. By pre-computing the address mapping relationships and storing them for rapid application, the system achieves high processing accuracy without the time penalty of real-time complex mathematical operations during image capture.
Data Source
AI summary
Methods and apparatuses for providing dewarping and/or perspective correction of an input image are disclosed. Described embodiments include processing that provides dewarping and/or perspective correction by associating pixel values identified by input pixel addresses corresponding to an input image with output pixel addresses corresponding to an output image. An image processor having a storage circuit and an address mapping unit for determining a corresponding input pixel address from an output pixel address is also disclosed.