OLED Data Compression via Spatial Quantization Grid
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Solution Overview
Problem
Existing data compression methods for organic light emitting diode (OLED) display devices result in significant data loss concentrated on specific pixels, degrading image quality and increasing memory capacity needs, which in turn raises manufacturing costs.
Innovation Solution
A method involving the generation of a quantization grid with varying quantization step values assigned according to pixel positions, using a preset parameter and function, to distribute data loss spatially and minimize memory requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If compensation data is compressed using conventional methods, then memory capacity needs are reduced, but data loss becomes concentrated on specific pixels degrading image quality
Solution Approach 1:
The patent applies different quantization step values to different regions of the image based on a quantization grid. Important regions (such as regions with high-frequency components or edges) use smaller quantization steps to preserve detail, while less important regions use larger steps for greater compression. This local differentiation prevents data loss concentration on specific pixels while maintaining overall image quality.
2Manufacturing precision
If large capacity memory is used to store compensation data, then image quality is maintained, but manufacturing costs increase
Solution Approach 1:
The patent changes the parameter of quantization step size dynamically across different regions of the image. By adjusting this parameter based on image content characteristics (such as gradient magnitude or frequency content), the system achieves optimal balance between compression ratio and image quality, reducing memory requirements without sacrificing manufacturing precision.
3Device complexity
If uniform quantization step value is applied to all pixels, then compression is simplified, but data loss concentration occurs on specific pixels
Solution Approach 1:
The patent segments the image into multiple regions using a quantization grid, where each region is assigned a different quantization step value based on its characteristics. This segmentation approach maintains relative simplicity while preventing data loss concentration, as each segment is processed independently with appropriate quantization levels.
Data Source
AI summary
The present disclosure relates a method for compressing data and a display device using the same, which firstly generates a quantization grid to which a quantization step value is assigned at positions thereon corresponding to positions of the plurality of pixels, assigns the quantization step value using a preset quantization parameter and a quantization function determined according to a dimension of an array, and quantizes data, which is assigned to a pixel located at a position corresponding to a position of the quantization step value, using the quantization step value when the quantization step value is assigned.As such, in accordance with the present disclosure, it may prevent a data loss due to compression of data from being concentrated on pixels located at specific concentrated positions. That is, in accordance with the present disclosure, a data loss due to quantization may be spatially distributed.