Texture Tile Compression with Layered Data Reduction
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Solution Overview
Problem
High-resolution video compression in displays like 4K requires significant memory space, leading to increased hardware costs when all texture tiles are compressed losslessly, necessitating methods to reduce memory usage without compromising data integrity.
Innovation Solution
A method and apparatus for compressing texture tiles that involves lossless compression followed by data reduction in layers to ensure the compression result meets a target length, using a data-reduction controller, memory controller, and compressor to minimize information damage and optimize memory usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all texture tiles are compressed lossless, then data integrity is maintained, but memory space increases excessively
Solution Approach 1:
The patent segments the compression process into multiple layers: first performing lossless compression, then conditionally applying lossy compression only when the lossless result exceeds the target length. This segmentation allows the system to maintain data integrity when possible while reducing memory usage when necessary.
Solution Approach 2:
The patent applies partial lossy compression only to the extent necessary to meet the target length requirement. The data-reduction controller performs data reduction in layers, applying lossy compression selectively rather than uniformly to all data, thus minimizing information loss while achieving the desired memory space reduction.
2Reliability
If lossless compression is applied to all texture tiles, then data quality is preserved, but hardware cost increases
Solution Approach 1:
The patent introduces dynamic control through the data-reduction controller, which adaptively adjusts the compression strategy based on the actual compression results. The system dynamically switches between lossless and lossy compression modes, and even applies lossy compression in multiple layers with varying reduction ratios, thereby optimizing the balance between data quality and hardware resource requirements.
Solution Approach 2:
The patent changes the compression parameter (compression ratio) dynamically. The data-reduction controller adjusts the reduction ratio in different layers, starting with m1 and increasing to m2, m3, etc., depending on whether the target length is achieved. This parameter adjustment allows the system to maintain high data quality when possible while reducing hardware costs when memory space is constrained.
3Quantity of substance
If data reduction is applied to meet target length, then memory usage is reduced, but information loss increases
Solution Approach 1:
The patent performs lossless compression first as a cushioning step before applying lossy compression. This preliminary lossless compression reduces the data size without information loss, providing a buffer that may eliminate the need for subsequent lossy compression. Only when the lossless result still exceeds the target length does the system proceed to lossy compression, thus minimizing information loss.
Solution Approach 2:
The patent applies lossy compression partially and selectively. The data-reduction controller applies data reduction in layers with increasing reduction ratios (m1, m2, m3, ...) only to the extent necessary to meet the target length. This partial application of lossy compression minimizes information loss while achieving the desired memory usage reduction.
Data Source
AI summary
The invention introduces a method for compressing texture tiles, which contains at least the following steps: lossless-compressing raw data of a texture tile; determining whether a length of the lossless-compression result of the raw data is greater than a target result; and when the length of the lossless-compression result of the raw data is greater than the target length, performing data-reduction control in layers for generating reduced data by reducing the raw data, and generating a lossless-compression result of the reduced data, thereby enabling the length of the lossless-compression result of the reduced data to be equal to the target length or shorter.