Dynamic EOTF Application for Mixed HDR SDR Picture-in-Picture

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Solution Overview

Problem

Conventional display devices cannot provide an optimal user experience when applying identical image settings to different dynamic range image sources in picture-in-picture (PiP) mode, leading to abnormal standard dynamic range (SDR) images when high dynamic range (HDR) and SDR images are mixed.

Innovation Solution

A method and device that dynamically apply different electro-optical transfer functions (EOTFs) to multiple image sources based on metadata, such as Maximum Content Light Level, Maximum Frame Average Light Level, and Minimum Content Light Level, using a scaler to detect and process HDR and SDR images separately with dynamic tone mapping and temporal filtering.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If identical image settings are applied to all PiP images, then the device complexity is reduced and ease of operation is improved, but the image quality and reliability deteriorate when mixing HDR and SDR sources

Engineering Contradiction:
Improveease of operationVSAvoidreliability
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent applies different electro-optical transfer functions (EOTFs) to different picture regions based on their source type (HDR or SDR). The processor identifies each picture source and applies the appropriate EOTF locally, ensuring that HDR pictures use HDR-specific transfer functions while SDR pictures use standard transfer functions, thereby maintaining image quality without requiring complex user configuration.

Inventive Principle:
Principle #3Local quality

2Reliability

If different EOTFs are applied to different image sources, then the image quality and reliability are improved, but the device complexity increases

Engineering Contradiction:
ImprovereliabilityVSAvoiddevice complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system automatically detects the type of each picture source (HDR or SDR) through metadata analysis and autonomously applies the appropriate EOTF without requiring user intervention. The processor self-manages the complexity by identifying source characteristics and selecting processing parameters automatically, thereby improving reliability while keeping the user interface simple.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent performs preliminary detection of picture source types and pre-determines the appropriate EOTFs before actual image processing. By analyzing metadata and source characteristics in advance, the system prepares the correct processing parameters, which simplifies the subsequent processing steps and reduces runtime complexity.

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If HDR settings are applied to SDR images, then the processing capability is improved, but abnormal image generation occurs

Engineering Contradiction:
ImproveadaptabilityVSAvoidabnormal image generation
Core Design Contradiction:
Adaptability or versatilityVSObject-generated harmful factors

Solution Approach 1:

The patent applies different electro-optical transfer functions (EOTFs) to different picture regions based on their source type (HDR or SDR). The processor identifies each picture source and applies the appropriate EOTF locally, ensuring that HDR pictures use HDR-specific transfer functions while SDR pictures use standard transfer functions, thereby maintaining image quality without requiring complex user configuration.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS20240331118A1Method of processing multiple image sources, related display device and computer-readable medium
Publication Date: 2024.10.03 AMTRAN TECHNOLOGY CO LTD
  • US20240331118A1 patent drawing
  • US20240331118A1 patent drawing
  • US20240331118A1 patent drawing

AI summary

A processing method for a plurality of image sources, for a display device includes inputting a plurality of image sources; detecting the plurality of image sources according to metadata of the a plurality of image sources to determine electro-optical transfer function (EOTF) corresponding to the a plurality of image sources; and dynamically applying different EOTFs on corresponding image sources.