Data Array Processing for Noise Suppression and Image Resolution

Solution Overview

Problem

Existing data processing methods struggle with noise amplification and artifact creation when attempting to extract information from data arrays, leading to sub-optimal results and limitations in image resolution due to hardware constraints and noise interference.

Innovation Solution

A data processing method involving re-arrangement and modification of elements in a number array using an amplitude variable and a function ensemble to optimize a cost function, enhancing image quality by suppressing noise and improving resolution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional data processing methods are used to extract information from data arrays, then processing speed is maintained, but noise amplification and artifact creation occur leading to sub-optimal results

Engineering Contradiction:

Improveinformation extraction accuracyVSAvoidnoise amplification and artifact creation

Core Design Contradiction:

Measurement precisionVSObject-generated harmful factors

Solution Approach 1:

The patent applies preliminary action by re-arranging elements of the number array before modifying their values. This re-arrangement step organizes the data in a specific pattern that enables subsequent processing to enhance signal quality while suppressing noise and artifacts, preventing harmful effects rather than correcting them afterward.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent modifies values of elements by superposing a product of an amplitude variable and a function, where the amplitude variable is computed to optimize a cost function. This parameter change approach dynamically adjusts the processing parameters based on the data characteristics, enabling optimal enhancement of true information while minimizing noise amplification and artifact creation.

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If hardware resolution limits are accepted, then device complexity is reduced, but image resolution and quality remain sub-optimal

Engineering Contradiction:

Improveimage resolutionVSAvoidprocessing algorithm complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces mechanical/hardware limitations with computational processing. Instead of relying on higher hardware resolution, the invention uses sophisticated data processing algorithms including element re-arrangement and cost function optimization to achieve enhanced image resolution and quality, effectively substituting computational complexity for hardware complexity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Measurement precision

If noise reduction processing is applied to image data, then image quality improves, but processing time increases

Engineering Contradiction:

Improveimage qualityVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by re-arranging elements of the number array before modifying their values. This re-arrangement step organizes the data in a specific pattern that enables subsequent processing to enhance signal quality while suppressing noise and artifacts, preventing harmful effects rather than correcting them afterward.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent modifies values of elements by superposing a product of an amplitude variable and a function, where the amplitude variable is computed to optimize a cost function. This parameter change approach dynamically adjusts the processing parameters based on the data characteristics, enabling optimal enhancement of true information while minimizing noise amplification and artifact creation.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12399683B2Processing of data arrays and applications including image processing

Publication Date: 2025.08.26 IMAEMI LLC

AI summary

The disclosed technology can be implemented to provide a method for processing data including representing original data in form of a number array with one or more row elements and one or more column elements based on the original data, re-arranging elements of the number array based on properties of corresponding elements in the number array and properties of other elements of the number array to form a re-arranged number array, modifying values of elements of the re-arranged number array by superposing a product of an amplitude variable A and values of a function F selecting from an ensemble of functions, and re-arranging the elements of re-arranged number array with the modified values of elements to generate a modified number array. The amplitude variable A is computed to optimize a cost function associated with the amplitude variable A, the respective function F, and elements of the number array.