Pixel Adaptive Blue Light Reduction via Per-Pixel HSV Shifting

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Solution Overview

Problem

Conventional methods for reducing blue light emission in displays either affect perception quality or require physical modifications to the device, as they either modify all pixels or rely on hardware changes.

Innovation Solution

Implementing a 3D lookup table that maps RGB components to modified values using HSV color space conversions and tri-linear interpolation, allowing for per-pixel color temperature shifting without altering peak luminance or gamut, thus reducing harmful blue light emission without physical redesign.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-affected harmful factors

If conventional methods modify all pixels to reduce blue light emission, then blue light reduction is achieved, but perception quality deteriorates

Engineering Contradiction:
Improveblue light emissionVSAvoidperception quality
Core Design Contradiction:
Object-affected harmful factorsVSManufacturing precision

Solution Approach 1:

The patent applies local quality by selectively adjusting only those pixels that contain harmful blue light wavelengths (415-460nm) while leaving other pixels unchanged. The system identifies pixels with blue light content above a threshold and applies color temperature adjustment only to those specific pixels, rather than uniformly modifying all pixels in the image. This localized approach preserves overall image quality while targeting the harmful blue light emission.

Inventive Principle:
Principle #3Local quality

2Object-affected harmful factors

If hardware modifications are made to reduce blue light emission, then blue light reduction is achieved, but device complexity increases

Engineering Contradiction:
Improveblue light emissionVSAvoiddevice complexity
Core Design Contradiction:
Object-affected harmful factorsVSDevice complexity

Solution Approach 1:

The patent replaces the mechanical/hardware approach with a software-based solution. Instead of physically modifying the display hardware to reduce blue light emission, the system uses image processing algorithms to detect and adjust blue light content in displayed images. This substitution of software for hardware modification reduces device complexity while achieving the same blue light reduction goal.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Object-affected harmful factors

If color temperature is shifted to reduce blue light, then blue light emission is reduced, but image quality deteriorates

Engineering Contradiction:
Improveblue light emissionVSAvoidimage quality
Core Design Contradiction:
Object-affected harmful factorsVSManufacturing precision

Solution Approach 1:

The patent applies partial action by implementing a threshold-based approach where color temperature adjustment is applied only to pixels exceeding a specific blue light content threshold. Pixels with blue light content below the threshold are left unchanged, avoiding unnecessary quality degradation. This partial application of the color temperature shift mechanism maintains image quality while still reducing harmful blue light emission from affected pixels.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS12154479B2Pixel adaptive blue light reduction
Publication Date: 2024.11.26 ATI TECHNOLOGIES ULC
  • US12154479B2 patent drawing
  • US12154479B2 patent drawing
  • US12154479B2 patent drawing

AI summary

A method of shifting a color temperature of an image on a display is provided which comprises, for each pixel of the image, converting red, green and blue (RGB) components of the pixel in a non-linear light space to hue, saturation, and value (HSV) components of the pixels in an HSV color space, calculating a color temperature shift for the pixel based on the HSV components of the pixel, converting the RGB components of the pixel in the non-linear light space to RGB components of the pixel in a linear light space, modifying the RGB components of the pixel in the linear light space and converting the modified RGB components of the pixel in the linear light space to modified RGB components of the pixel in the non-linear light space.