Rational Optical-Electro Transfer Function for HDR Quantization

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Solution Overview

Problem

Conventional methods for processing high dynamic range (HDR) images result in stripe noise that is perceivable by the human eye, failing to meet quality requirements due to inadequate quantization quality, especially at low brightness values.

Innovation Solution

An optical-electro transfer function is proposed, which processes brightness information using a rational quantization function to improve quantization quality, allowing the HDR image to reach up to 10000 nits while maintaining a Weber score within the Schreiber threshold, thereby reducing stripe noise and enhancing image quality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If conventional optical-electro transfer function is used, then processing simplicity is maintained, but quantization quality deteriorates and stripe noise appears when brightness is less than 0.1 nits

Engineering Contradiction:
Improvequantization qualityVSAvoidstripe noise
Core Design Contradiction:
Manufacturing precisionVSObject-generated harmful factors

Solution Approach 1:

The patent applies parameter changes by modifying the optical-electro transfer function from conventional forms to a rational function form: L' = (a*L + b)/(m*L + p). By adjusting parameters a, b, m, and p, the function optimizes the mapping relationship between input and output brightness values, ensuring Weber scores remain below the Schreiber threshold across the full brightness range including low brightness regions below 0.1 nits, thereby eliminating stripe noise while maintaining processing efficiency.

Inventive Principle:
Principle #35Parameter changes

2Illumination intensity

If brightness range is expanded to 10000 nits, then dynamic range coverage is improved, but quantization precision deteriorates without the new transfer function

Engineering Contradiction:
Improvebrightness rangeVSAvoidquantization precision
Core Design Contradiction:
Illumination intensityVSManufacturing precision

Solution Approach 1:

The patent uses parameter changes to achieve both expanded brightness range and maintained quantization precision. The rational transfer function with optimized parameters a, b, m, and p creates a non-linear mapping that provides finer quantization steps at low brightness values (below 0.1 nits) while still accommodating high brightness values up to 10000 nits. This parameter optimization ensures Weber scores remain below the Schreiber threshold across the entire extended dynamic range.

Inventive Principle:
Principle #35Parameter changes

3Manufacturing precision

If rational quantization function is implemented, then quantization quality and dynamic range are improved, but computational complexity increases

Engineering Contradiction:
Improvequantization qualityVSAvoidcomputational complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent resolves the complexity issue by using a rational function form (a*L + b)/(m*L + p) rather than more complex non-linear functions. This form maintains relative computational simplicity while achieving superior quantization quality. The function requires only basic arithmetic operations (multiplication, addition, division) and can be pre-computed or cached, making it suitable for real-time HDR processing without significant increases in computational burden.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentEP3364654B1High dynamic range image processing method and apparatus
Publication Date: 2021.03.03 HUAWEI TECH CO LTD
  • EP3364654B1 patent drawingFigure 1A
  • EP3364654B1 patent drawingFigure 1B
  • EP3364654B1 patent drawingFigure 1C

AI summary

Embodiments of the present invention disclose a method and an apparatus for processing a high dynamic range image, and a terminal device. The method includes: obtaining brightness information of an image; processing the brightness information, to obtain processed image information; quantizing the processed image information, to obtain quantized image information; and encoding the quantized image information, to obtain encoded image information. When the embodiments of the present invention are used, quantization quality is improved.