Block-Based De-Interlacing Algorithm for Video Signal Reconstruction

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Solution Overview

Problem

Existing de-interlacing algorithms fail to accurately reconstruct full-resolution frames from line-skipped sequences due to aliasing artifacts and require accurate motion vector estimation, which is challenging due to inherent inaccuracies in aliased low-resolution signals.

Innovation Solution

The method involves up-sampling target blocks by merging lines from reference fields and optimizing smoothness by translating and permuting substitute lines to minimize artifacts, avoiding the need for precise motion vector determination.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional de-interlacing algorithms are used to reconstruct frames from line-skipped sequences, then the process can be performed with standard methods, but aliasing artifacts occur and motion vector estimation becomes inaccurate

Engineering Contradiction:
Improvereconstruction accuracyVSAvoidaliasing artifacts
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The image is divided into multiple blocks, and each block is processed independently to determine local motion characteristics. This segmentation allows the algorithm to handle different motion regions separately, improving motion estimation accuracy in the presence of aliasing artifacts

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies different processing strategies to different blocks based on their local motion characteristics. Blocks with high motion are handled differently from static blocks, allowing the algorithm to optimize reconstruction accuracy for each local region while dealing with aliasing artifacts appropriately

Inventive Principle:
Principle #3Local quality

2Productivity

If motion vector estimation is performed on aliased low-resolution signals, then the de-interlacing process can proceed, but the motion vectors become inherently inaccurate

Engineering Contradiction:
Improveprocessing efficiencyVSAvoidmotion vector accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent performs preliminary processing on the line-skipped sequence before motion estimation, including proper handling of the subsampled structure. This preliminary action prepares the data in a way that minimizes aliasing effects on subsequent motion vector calculation

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The algorithm changes the approach to motion estimation by using block-based differential methods rather than traditional pixel-matching. This parameter change in the estimation methodology makes the process more robust to aliasing artifacts while maintaining computational efficiency

Inventive Principle:
Principle #35Parameter changes

3Quantity of substance

If line-skipping operation is applied to reduce bandwidth, then the vertical resolution decreases by factor K, but aliasing artifacts are introduced in the downsampled sequence

Engineering Contradiction:
Improvebandwidth reductionVSAvoidaliasing distortion
Core Design Contradiction:
Quantity of substanceVSObject-affected harmful factors

Solution Approach 1:

The patent converts the aliasing artifacts, which are normally harmful, into useful information by analyzing their statistical properties and patterns. The algorithm exploits the structured nature of aliasing in line-skipped sequences to improve rather than degrade reconstruction quality

Inventive Principle:
Principle #22Blessing in disguise (Convert harm into benefit)

Solution Approach 2:

The patent introduces intermediate processing steps between the line-skipped sequence and final reconstruction, including block-based analysis and smoothness optimization. These intermediary operations act as mediators that reduce the impact of aliasing while preserving the bandwidth benefits of line-skipping

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentEP1931136B1Block-based line combination algorithm for de-interlacing
Publication Date: 2016.04.20 SUN PATENT TRUST
  • EP1931136B1 patent drawingFigure 1a~1b
  • EP1931136B1 patent drawingFigure 2a~2c
  • EP1931136B1 patent drawingFigure 3a~3b

AI summary

The present invention relates to the field of video data de-interlacing, and in particular to a method for reconstructing full-resolution frames from a line-skipped-sequence of fields and a corresponding apparatus. It is the particular approach of the present invention to substitute missing lines of a block of a reconstructed full-resolution frame by lines from another field, e.g. the preceding field, and translating the substitute lines vertically and horizontally so as to optimized a smoothness measure computed for the thus reconstructed block. In this manner, an error-prone a priori determination of motion vectors based an interpolation of the interlaced images in the vertical direction can be avoided. The present invention may also be applied to sequences generated from a full-resolution sequence by a line-skipping operation that keeps only every Kth line and discards the other K-1 lines.