Time-Domain Refractive Index Compression for Spectral Rendering

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Solution Overview

Problem

Spectral rendering techniques in video games require significant processing and storage resources due to the need to model a large number of wavelengths and store frequency-dependent material properties, leading to increased demands on memory and reduced storage for other graphical data.

Innovation Solution

The method involves converting refractive index curves to the time domain and applying audio compression techniques to reduce storage requirements by removing insignificant data and utilizing common elements across similar curves, allowing efficient storage and retrieval of compressed refractive index curves for spectral rendering.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If spectral rendering techniques are used to model a large number of wavelengths, then rendering realism is improved, but processing requirements and storage requirements increase significantly

Engineering Contradiction:
Improverendering realismVSAvoidstorage requirements
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

The patent transforms the refractive index data from the frequency domain to the time domain using Fourier transform. This parameter transformation enables the use of audio compression techniques on optical data, significantly reducing storage requirements while maintaining rendering quality. The time domain representation allows for efficient compression without sacrificing the spectral rendering realism.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent applies audio compression techniques (designed for sound waves) to compress optical refractive index data. By treating the refractive index curve similarly to an audio signal and applying proven audio compression algorithms, the patent achieves efficient compression of spectral rendering data, reducing storage requirements while preserving the essential visual information.

Inventive Principle:
Principle #26Copying

2Measurement precision

If full frequency curves are stored for material properties, then spectral rendering accuracy is improved, but available storage for other graphical data is reduced

Engineering Contradiction:
Improvespectral rendering accuracyVSAvoidavailable storage
Core Design Contradiction:
Measurement precisionVSArea of stationary object

Solution Approach 1:

The patent changes the domain parameter from frequency to time using Fourier transform. This transformation allows the same spectral information to be represented in a form that is much more compressible, enabling full spectral accuracy to be maintained with significantly reduced storage space, thereby freeing up memory for textures and other graphical assets.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

By applying audio compression methodologies to optical refractive index data, the patent achieves efficient storage of complete frequency curves. The compression techniques preserve the essential spectral characteristics needed for accurate rendering while reducing the storage footprint to levels compatible with real-time gaming applications.

Inventive Principle:
Principle #26Copying

3Measurement precision

If a large number of material property values are stored for spectral rendering, then rendering quality is improved, but memory efficiency is reduced

Engineering Contradiction:
Improverendering qualityVSAvoidmemory efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent applies a domain transformation from frequency to time using Fourier transform, which fundamentally changes how the material property data is structured. This parameter change enables the application of highly efficient audio compression algorithms, achieving superior memory efficiency while maintaining complete spectral rendering quality for realistic visual effects.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent successfully adapts audio compression techniques to compress optical material property data. By treating refractive index curves as compressible signals similar to audio, the patent achieves high memory efficiency without sacrificing rendering quality, enabling spectral rendering to run efficiently in memory-constrained environments like video games.

Inventive Principle:
Principle #26Copying

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach significantly reduces memory requirements, enabling more efficient spectral rendering by freeing up memory for other graphical components and improving performance in real-time rendering of video game scenes.

Implementation Method 1

applying a Fourier transform to the refractive index curve to obtain a time domain refractive index curve

Methodology Applied
Scientific EffectFourier transform:

Data Source

PatentEP4664889A1Method and system for storing material properties for use in spectral rendering
Publication Date: 2025.12.17 SONY INTERACTIVE ENTERTAINMENT LLC
  • EP4664889A1 patent drawingFigure 1
  • EP4664889A1 patent drawingFigure 2
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AI summary

A computer implemented method for compressing a refractive index curve for use in spectral rendering, the method comprising: providing a refractive index curve for a material to be rendered within a virtual environment, the refractive index curve encoding the variation of the refractive index with frequency; applying a Fourier transform to the refractive index curve to obtain a time domain refractive index curve; applying a compression technique to the time domain curve to obtain a compressed time domain curve; storing the compressed time domain curve for use in spectral rendering. Since most of the important relevant variation in a time domain refractive index curve is confined to a small part of the curve, compression techniques may be readily applied to reduce the amount of data that may be stored, freeing up memory for other memory intensive aspects of the graphics rendering pipeline.