Frequency-Domain Video Compression for Detail and Noise Control

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Solution Overview

Problem

Existing video compression technologies, such as ITU Recommendations H.264 and H.265, face challenges in balancing calculation complexity with image definition, leading to reduced clarity and noise issues like block and ringing effects, while seeking improved data compression efficiency and decompressed image quality.

Innovation Solution

A data processing method and system that divides frames into units, modulates amplitudes in intermediate-to-high-frequency regions using boundary adjustment coefficients, and employs corresponding boundary compensation during decompression to enhance compression efficiency and restore or exceed original image definition without significant calculation increase.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If complex frame prediction algorithms are used to reduce residuals and improve compression efficiency, then data compression efficiency is improved, but calculation complexity increases significantly

Engineering Contradiction:

Improvedata compression efficiencyVSAvoidcalculation complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent changes the parameter representation by transforming spatial domain frame data into frequency domain data using Fourier transform. This parameter transformation allows compression to operate on frequency coefficients rather than pixel values, achieving better compression efficiency with reduced calculation complexity in the encoding process.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent replaces complex spatial domain prediction algorithms with frequency domain processing. By substituting the mechanical prediction process with Fourier transform-based frequency analysis, the system achieves compression efficiency improvement without the exponential increase in calculation complexity associated with traditional predictive coding methods.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Device complexity

If high-frequency information is reduced by filtering to simplify encoding, then encoding complexity and data amount are reduced, but image definition and clarity deteriorate

Engineering Contradiction:

Improveencoding complexityVSAvoidimage definition

Core Design Contradiction:

Device complexityVSManufacturing precision

Solution Approach 1:

The patent applies different processing strategies to different frequency components. Low-frequency components are preserved with high fidelity to maintain image definition, while high-frequency components are processed with compression techniques. This local quality differentiation allows encoding complexity reduction without significant loss of image clarity.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

By transforming to frequency domain, the patent enables selective processing of different frequency parameters. The Fourier transform separates image information into frequency components, allowing the system to modify encoding complexity for different frequency ranges independently, thereby reducing overall encoding complexity while preserving visual quality.

Inventive Principle:

Principle #35Parameter changes

3Quantity of substance

If traditional compression standards are used to reduce data size, then storage and transmission resources are saved, but noise effects such as block and ringing artifacts appear

Engineering Contradiction:

Improvedata sizeVSAvoidnoise artifacts

Core Design Contradiction:

Quantity of substanceVSObject-affected harmful factors

Solution Approach 1:

The patent substitutes traditional block-based compression mechanics with frequency domain processing. By replacing spatial domain block processing with Fourier transform-based frequency analysis, the system avoids block artifacts while maintaining effective data size reduction. The frequency domain approach naturally handles boundaries without creating discontinuities.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes from spatial domain parameter processing to frequency domain parameter processing. This parameter transformation allows compression to operate on frequency coefficients, which when properly processed and transformed back, produce images without the block and ringing artifacts characteristic of traditional spatial domain compression methods.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12513285B2Image and video data processing method and system

Publication Date: 2025.12.30 YU JIANGHONG

AI summary

In a data processing method and system, an original frame is divided into a plurality of units, and an amplitude of each unit in an intermediate-frequency to high-frequency region is modulated with different boundary adjustment coefficients. If an amplitude of a current unit in an intermediate-frequency to high-frequency region is high, a boundary adjustment coefficient greater than 0 and less than 1 is used to decrease the amplitude in this region, thereby reducing an amount of data information and improving data compression efficiency. If an amplitude of a current unit in an intermediate-frequency to high-frequency region is low, a boundary adjustment coefficient greater than 1 is used to increase the amplitude in this region to avoid loss of details. In data decompression, boundary compensation is performed for the amplitude of each unit in the intermediate-frequency to high-frequency region with a boundary compensation coefficient corresponding to the boundary adjustment coefficient.