Bit Resolution Extension via Contour Interpolation
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Solution Overview
Problem
Existing image processing methods face challenges in extending bit resolution, particularly for small devices, as the complexity of algorithms leads to image quality degradation and artificial boundary generation due to loss of lower pixel bits.
Innovation Solution
A method and device that extend bit resolution by generating an extension bit by interpolating the shortest distance from a central pixel to surrounding contours of different values, improving image resolution and reducing quantization noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If bit resolution extension is applied using complex algorithms, then image resolution is improved, but device complexity increases making it difficult to apply to small devices
Solution Approach 1:
The algorithm segments the image processing task by identifying and processing only the lower significant bits that need extension, rather than processing the entire pixel value. This segmentation allows the complex bit extension operation to be applied selectively to specific bit planes, reducing overall computational complexity while maintaining image resolution improvement.
Solution Approach 2:
The patent changes the parameter of bit resolution from its original quantized state to an extended state by generating additional lower bits through interpolation. This parameter transformation enables higher measurement precision (image resolution) without requiring proportionally complex processing, as the extension operates on a limited set of bit parameters rather than full pixel data.
2Device complexity
If lower bits of pixel values are discarded in quantization, then processing complexity is reduced, but image quality is degraded and artificial boundaries are generated
Solution Approach 1:
The patent applies preliminary action by extending the lower bits through interpolation before final image processing and display. By generating the extension bits in advance using the contour-based interpolation method, the system preserves image quality without requiring complex real-time processing during display, thus maintaining both low processing complexity and high image quality.
Solution Approach 2:
The patent introduces an intermediary process of bit extension that sits between quantization and final image output. This intermediary step generates the missing lower bits through contour-based interpolation, acting as a mediator that restores image quality without requiring the system to handle full-precision data throughout the entire processing chain, thus maintaining processing efficiency.
Data Source
AI summary
A bit resolution-extension method is provided. The bit resolution-extension method includes acquiring the shortest distance from a central pixel to a positive contour and the shortest distance from the central pixel to a negative contour in a filtering region which scans the positive contour comprising large pixels of a fixed value and the negative contour comprising small pixels of a fixed value, based on a value of the central pixel, generating an extension bit of the central pixel by interpolating the shortest distance from the central pixel to the positive contour and the shortest distance from the central pixel to the negative contour, and adding the extension bit as a lower bit of the central pixel.