Compact Floating Point Format for Nonlinear Color Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing graphics processors struggle to process nonlinear colorspace data efficiently, leading to visual artifacts and suboptimal performance when reusing texture filtering units designed for linear colorspace data.
Innovation Solution
Converting nonlinear colorspace data into a compact floating point format using an 8-bit explicit mantissa and 3-bit exponent, allowing conventional texture filtering units to maintain precision and performance equivalent to processing 8-bit color values, while avoiding the reduced performance associated with 16-bit floating point conversion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If nonlinear colorspace data is processed using conventional texture filtering units designed for linear colorspace data, then the existing hardware can be reused, but visual artifacts occur and processing precision deteriorates
Solution Approach 1:
A colorspace conversion unit is introduced as an intermediary component between the texture memory (storing nonlinear colorspace data) and the conventional texture filtering units. This conversion unit transforms the nonlinear colorspace data into linear colorspace data before it reaches the filtering units, allowing the existing hardware to process the data correctly without visual artifacts while maintaining its reusability
Solution Approach 2:
The colorspace conversion unit changes the parameter representation of color data from nonlinear colorspace format to linear colorspace format. By transforming the data representation rather than changing the hardware architecture, the system maintains compatibility with existing texture filtering units while eliminating visual artifacts and preserving processing precision
2Measurement precision
If nonlinear colorspace data is converted to 16-bit floating point format, then processing precision is maintained, but processing throughput is reduced by half compared to 8-bit color values
Solution Approach 1:
Instead of converting nonlinear colorspace data to standard 16-bit floating point format, the patent transforms it into a custom compact floating point format with reduced precision (fewer mantissa and exponent bits). This parameter change in the data representation allows the texture filtering units to process the converted data at the same high throughput rate as 8-bit color values, rather than being limited to half the throughput that would result from using full 16-bit floating point format
Data Source
AI summary
Systems and methods for processing linear colorspace data may be reused to process nonlinear colorspace data at a comparable performance level while maintaining the precision of the nonlinear colorspace data. Nonlinear colorspace data is converted to a compact floating point format in a linear colorspace used by conventional graphics processors. The compact floating point format includes an 8 bit explicit mantissa (without an implied leading one) and a 3 bit exponent to maintain the precision of the nonlinear colorspace data. The 8 bit mantissa may be processed by conventional texture filtering units designed to process 8 bit (fixed or floating point) color values. The 3 bit exponent may by processed by conventional texture filtering units designed to process floating point color values.