HDR Pixel Stream Blending for Dynamic Range and Color Accuracy

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Solution Overview

Problem

Traditional digital photography systems are limited by the dynamic range of image sensors, which can be overcome through high-dynamic range (HDR) photography by capturing multiple exposures and merging them to create images with a larger dynamic range.

Innovation Solution

A system and method for blending pixels based on their attributes, such as intensity and color, to generate high-dynamic range (HDR) images, using automatic and user-controlled blending techniques, including metadata and cloud-based feedback for setting blending parameters.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Illumination intensity

If multiple exposures are captured and merged to create HDR images, then the dynamic range is improved, but the processing complexity increases

Engineering Contradiction:
Improvedynamic rangeVSAvoidprocessing complexity
Core Design Contradiction:
Illumination intensityVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by pre-calculating and storing blend weights for different pixel intensity ranges before actual HDR processing. Lookup tables are prepared in advance with optimal blending parameters, so that during runtime, the system only needs to perform simple table lookups and weighted averaging operations rather than complex real-time optimization, thus resolving the contradiction between achieving high dynamic range and maintaining processing simplicity

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent changes parameters by transforming pixel values from linear intensity space to logarithmic or gamma-corrected space, and by adjusting blend weights based on predefined intensity thresholds. These parameter transformations simplify the merging process while preserving the extended dynamic range, allowing the system to achieve high dynamic range output without proportionally increasing processing complexity

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If automatic and user-controlled blending techniques are used, then the color accuracy is improved, but the system complexity increases

Engineering Contradiction:
Improvecolor accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies segmentation by dividing the blending process into distinct automatic and user-controlled components. The automatic blending handles routine merging based on pixel intensity analysis, while user controls provide optional adjustment for specific scenarios. This segmentation allows the system to achieve high color accuracy through the automatic path while offering enhanced precision through user intervention when needed, without requiring the full complexity to be always active

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary blending module that sits between the multiple exposure inputs and the final HDR output. This intermediary applies color space transformations, white balance adjustments, and tone mapping as intermediate processing steps. By inserting these intermediary processing layers, the system can progressively refine color accuracy without directly complicating the core merging algorithm, as each intermediary step addresses specific color fidelity issues independently

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS12401911B2Systems and methods for generating a high-dynamic range (HDR) pixel stream
Publication Date: 2025.08.26 DUELIGHT LLC
  • US12401911B2 patent drawing
  • US12401911B2 patent drawing
  • US12401911B2 patent drawing

AI summary

A system, method, and computer program product are provided for high-dynamic range images. In use, a first pixel attribute of a first pixel is received and a second pixel attribute of a second pixel is received. Next, a scalar based on the first pixel attribute and the second pixel attribute is identified. Finally, the first pixel and the second pixel are blended, based on the scalar, wherein the first pixel is brighter than the second pixel. Additional systems, methods, and computer program products are also presented.