Mura Compensation Parameter Coding for Accurate Display Reconstruction
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Solution Overview
Problem
Existing image display devices suffer from mura defects, which are non-uniform brightness and chromaticity issues due to manufacturing processes, and conventional codecs are inefficient in compressing mura compensation algorithm (MCA) parameters, leading to unsatisfactory performance.
Innovation Solution
A novel codec system is developed for compressing MCA parameters, utilizing separate bitstreams for different components and employing techniques like Huffman and Exponential-Golomb coding, along with inverse binary arithmetic and run-length coding, to improve compression and reconstruction accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional codecs are used to compress MCA parameters, then compression is performed, but compression efficiency and accuracy are insufficient
Solution Approach 1:
The patent segments the MCA parameter data into different components (e.g., significant coefficients and less significant coefficients) and applies different compression strategies to each segment. This segmentation allows the codec to prioritize accurate compression of important parameters while using more aggressive compression on less critical data, thereby improving both compression accuracy and efficiency simultaneously
Solution Approach 2:
The patent changes the representation parameters of MCA data by transforming it into a format that highlights its statistical properties (such as coefficient significance patterns). By adjusting parameters like threshold values and significance criteria, the codec optimizes the balance between compression ratio and reconstruction accuracy for MCA-specific data characteristics
2Productivity
If MCA parameters are compressed with natural-image codecs, then compression is achieved, but reconstruction accuracy deteriorates
Solution Approach 1:
The patent incorporates feedback mechanisms where the compression process monitors which MCA parameters are most critical for mura defect compensation. This feedback information is used to adjust the compression strategy, ensuring that parameters with higher impact on reconstruction accuracy are preserved with greater fidelity while allowing more compression on less critical parameters
Solution Approach 2:
The patent applies local quality principles by differentiating compression quality across different MCA parameter locations. Regions or parameters that have greater influence on mura compensation accuracy receive higher compression quality (less compression), while less critical parameters undergo more aggressive compression, optimizing the overall balance between compression ratio and reconstruction accuracy
Data Source
AI summary
A system and a method are disclosed for processing data. The method includes receiving, by a decoding circuit, a first input bitstream including a first set of coefficients associated with a first group of pixels of a display device, the first set of coefficients having a first format that is different from a second format associated with an output data of the decoding circuit, a first portion indicating that one or more of the coefficients in the first set have absolute values that are greater than zero, and a second portion indicating that a plurality of consecutive coefficients in the first set have absolute values that are less than or equal to a first value, and changing image data for displaying an image on the display device, based on the first input bitstream.