Mura Compensation Image Upsampling With Polynomial Refinement
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Solution Overview
Problem
Display panels exhibit unit-to-unit variations in display intensity due to mura, which are not corrected effectively by existing methods, leading to display performance degradation.
Innovation Solution
A mura compensation image is stored in a downsampled and encoded form, with an upsampling refinement process using polynomial functions to adjust the image, reducing distortion and improving fidelity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the mura compensation image is stored in downsampled and encoded form to reduce memory usage, then storage efficiency is improved, but distortion is introduced that degrades display performance
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing correction parameters that compensate for the distortion introduced by downsampling. Instead of storing the full-resolution compensation image, the system pre-processes the correction data and stores only essential parameters, which are then applied during display operation to maintain image fidelity while reducing memory requirements.
Solution Approach 2:
The patent changes parameters by transforming the mura compensation image into a different parameter representation. Rather than storing pixel intensity values at full resolution, the system converts the compensation data into correction parameters (such as gain/offset values or polynomial coefficients) that can be applied computationally, thereby reducing storage requirements while preserving the ability to accurately correct mura effects.
2Length of stationary object
If upsampling is applied to restore image resolution after downsampling, then image size is restored, but distortion and artifacts are introduced
Solution Approach 1:
The patent extracts only the essential correction information from the full-resolution mura compensation image before downsampling. By separating the correction parameters from the complete image data, the system can store and process only the necessary correction values, avoiding the quality degradation that would result from traditional upsampling operations while maintaining the ability to apply accurate corrections.
3Quantity of substance
If encoding and decoding are applied to compress the mura compensation image, then storage efficiency is improved, but processing complexity and potential quality loss increase
Solution Approach 1:
The patent simplifies processing by changing the data representation from compressed image formats to straightforward correction parameters. These parameters can be applied through simple mathematical operations (multiplication, addition) during display refresh, eliminating the need for complex decoding operations and reducing processing complexity while maintaining storage efficiency.
Data Source
AI summary
A system and method for image adjustment. In some embodiments, a method includes upsampling a first image to form an upsampled image and adjusting the upsampled image, based on a set of parameters, to form an output image. The set of parameters may have a total size, in bits, smaller than a total size of the upsampled image.