Tiered Residual Decomposition for Scalable High-Definition Signal Encoding

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Solution Overview

Problem

Conventional image and video encoding techniques are inefficient for high-definition content due to unsuitable frequency domain transforms, leading to computational waste, blocking artifacts, and difficulty in controlling encoding errors, especially in applications requiring high quality and scalability.

Innovation Solution

A method involving a tiered hierarchy of quality levels, where residual data is transformed and quantized to leverage correlations across larger signal portions, allowing efficient entropy coding with low computational complexity and error control, using directional decomposition to minimize distinct symbols in the bitstream.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of substance

If frequency domain transforms are used for conventional image and video encoding, then compression is achieved, but computational complexity increases and blocking artifacts occur

Engineering Contradiction:

Improvedata redundancyVSAvoidcomputational complexity

Core Design Contradiction:

Loss of substanceVSDevice complexity

Solution Approach 1:

The patent divides the image into multiple blocks and processes each block independently through the transform and quantization pipeline, enabling parallel processing and reducing overall computational complexity while maintaining compression efficiency

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent extracts only the most significant transform coefficients for encoding, discarding less important frequency components, which reduces the amount of data that needs to be processed and transmitted while maintaining acceptable image quality

Inventive Principle:

Principle #2Taking out (Extraction)

2Loss of substance

If frequency domain transforms are used for conventional image and video encoding, then compression is achieved, but blocking artifacts are generated

Engineering Contradiction:

Improvedata redundancyVSAvoidblocking artifacts

Core Design Contradiction:

Loss of substanceVSObject-affected harmful factors

Solution Approach 1:

The patent applies different quantization strengths to different frequency bands and regions, using finer quantization for important visual regions and coarser quantization for less critical areas, which reduces blocking artifacts in important regions while maintaining overall compression

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent uses asymmetric block sizes and non-uniform sampling patterns that adapt to local image characteristics, reducing the visibility of blocking artifacts by aligning block boundaries with natural image transitions rather than applying uniform blocking

Inventive Principle:

Principle #4Asymmetry

3Productivity

If conventional encoding techniques are used for high-definition content, then encoding is performed, but error control becomes difficult

Engineering Contradiction:

Improveencoding speedVSAvoiderror control

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent performs error detection and correction operations during the transform and quantization stages before final encoding, allowing errors to be identified and corrected early in the process when they are easier to handle, improving reliability without significantly impacting encoding speed

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent incorporates feedback mechanisms where decoded blocks are compared with original blocks and error information is used to adjust subsequent encoding parameters, improving error control through iterative refinement while maintaining efficient encoding

Inventive Principle:

Principle #23Feedback

4Productivity

If frequency domain transforms are used for high-definition content, then encoding is performed, but computational waste occurs

Engineering Contradiction:

Improveencoding capabilityVSAvoidcomputational waste

Core Design Contradiction:

ProductivityVSLoss of energy

Solution Approach 1:

The patent applies transform and quantization operations only to the necessary portions of high-definition content at appropriate resolutions, avoiding full processing of all data at maximum quality levels, which reduces computational waste while maintaining encoding capability for when it is needed

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20250220185A1Decomposition of residual data during signal encoding, decoding and reconstruction in a tiered hierarchy

Publication Date: 2025.07.03 V NOVA INT LTD

AI summary

Computer processor hardware receives a first set of adjustment values. The first set of adjustment values specify adjustments to be made to a predicted rendition of a signal generated at a first level of quality to reconstruct a rendition of the signal at the first level of quality. The computer processor hardware processes the first set of adjustment values and derives a second set of adjustment values based on the first set of adjustment values and a rendition of the signal at a second level of quality. The second level of quality is lower than the first level of quality.