Angular Detection Using Sum of Absolute Difference Statistics for Image Scaling

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Solution Overview

Problem

Existing image processing techniques often introduce artifacts like jagged edges and blurriness when scaling image data for higher resolution displays, affecting perceived image quality.

Innovation Solution

The use of noise statistics, differential statistics, and angle detection to identify optimal interpolation angles for directional scaling, combined with enhancement circuitry for improving image resolution and reducing noise, ensures that image features are maintained while minimizing artifacts.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If image data is scaled to higher resolution, then image resolution is improved, but image artifacts such as jagged edges are introduced

Engineering Contradiction:

Improveimage resolutionVSAvoidimage artifacts

Core Design Contradiction:

Measurement precisionVSObject-generated harmful factors

Solution Approach 1:

The patent applies dynamic angle detection and adaptive interpolation by calculating the angle of image features (edges, lines) and using this angle information to dynamically adjust the interpolation process. This allows the scaling algorithm to adapt to the local orientation of features, maintaining smooth edges while scaling to higher resolution.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent changes the parameter of interpolation by using angle-dependent weighting factors. Instead of uniform interpolation, the system calculates weights based on the detected angle of features, applying different interpolation strategies for different orientations to preserve edge quality while achieving high resolution scaling.

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If noise statistics are applied to enhance image content, then image quality is improved, but noise differentiation complexity increases

Engineering Contradiction:

Improveimage qualityVSAvoidnoise differentiation

Core Design Contradiction:

Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The patent replaces complex manual noise analysis with automated statistical processing. By computing noise statistics (variance, standard deviation) across multiple scales and comparing them systematically, the system automatically differentiates noise from genuine image features without requiring manual intervention or complex heuristics.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11321813B2Angular detection using sum of absolute difference statistics systems and methods

Publication Date: 2022.05.03 APPLE INC

AI summary

An electronic device may include angle detection circuitry to receive input image data including a channel of pixel data and determine pixel statistics based on a difference between a first pixel cluster and a second pixel cluster, and the second pixel cluster is offset from the first pixel cluster at a first angle. The pixel statistics may also be based on a difference between the first pixel cluster and a third pixel cluster, wherein the third pixel cluster is offset from the first pixel cluster a second angle, different from the first angle. The angle detection circuitry may also determine a best angle based on the differences, wherein the best angle approximates an angle of uniformity in content of the image. Image processing circuitry may then modify the input image data based on the best angle by modifying pixel values of the channel of pixel data.