Image Processing Circuit Gamma Correction for Wide Viewing Angles
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Solution Overview
Problem
Liquid crystal display devices suffer from limited viewing angles due to dielectric anisotropy, resulting in varying contrast and color when viewed from different directions, which hampers their application in various fields requiring wide viewing angle characteristics.
Innovation Solution
An image processing circuit is introduced that includes a gamma converter, compression circuit, decompression circuit, and gamma correction circuit to convert and adjust image data signals based on spatial distribution patterns, allowing simultaneous display of high and low gamma curves, thereby improving viewing angles and reducing memory storage needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single gamma curve is used for the entire display panel, then the circuit complexity is reduced, but the viewing angle characteristic deteriorates
Solution Approach 1:
The display panel is divided into multiple regions (first region and second region), each region being assigned a different gamma curve (first gamma curve and second gamma curve, respectively). This segmentation allows different parts of the display to have optimized gamma characteristics for different viewing angles, thereby improving overall viewing angle performance without requiring a single complex adaptive circuit for the entire panel.
Solution Approach 2:
Different gamma curves are applied to different spatial regions of the display panel based on their specific viewing angle requirements. The first region uses a gamma curve optimized for certain viewing angles while the second region uses a different gamma curve optimized for other viewing angles, achieving local optimization of display quality across the panel.
2Reliability
If uncompressed gamma signals are stored in memory, then the signal quality is maintained, but the memory storage requirement increases
Solution Approach 1:
The gamma signals are pre-compressed using compression circuits before being stored in the memory. This preliminary compression reduces the storage space required while maintaining acceptable signal quality. The compressed signals are later decompressed and combined with current frame data to reconstruct the previous frame image data, achieving a balance between storage efficiency and signal quality.
3Measurement precision
If full-resolution previous frame data is stored in memory, then the gamma correction precision is improved, but the memory storage requirement increases
Solution Approach 1:
Instead of storing the entire previous frame data at full resolution, the patent stores compressed representations of the previous frame by separating and compressing gamma signals. The decompressed gamma signals are then combined with current frame data to reconstruct the previous frame image data on-demand, reducing memory storage requirements while maintaining sufficient precision for gamma correction operations.
Data Source
AI summary
An image processing circuit includes a memory, a gamma converter which converts a first image data signal of a frame to a current image data signal thereof corresponding to first or second gamma types based on a spatial distribution pattern, a compression circuit which separates the current image data signal into first and second gamma signals corresponding to the first and second gamma types and compresses the first and second gamma signals to first and second compression gamma signals to store the first and second compression gamma signals, a decompression circuit which output a previous image data signal of a previous frame by decompressing the first and second compression gamma signals and combines first and second decompression gamma signals, and a gamma correction circuit which performs a gamma adjustment based on current and previous image data signals to output a second image data signal.


