Video Frame Image Processing Modules for Scratch and Color Cast Repair

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Solution Overview

Problem

Video frames often suffer from scratches, dead points, noise, and color cast issues, which degrade their display quality, particularly over time or due to poor storage conditions.

Innovation Solution

An image processing method and device that includes scratch repair, dead point repair, denoising, and color cast correction techniques. The method involves variance calculation, multiscale cascade networks, and color balance adjustments to restore video frames, using modules for scratch removal, artifact removal, denoising, and color cast correction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If traditional scratch removal and color correction methods are used, then processing speed is maintained, but repair precision and color accuracy deteriorate

Engineering Contradiction:
Improvescratch repair precisionVSAvoidprocessing time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent segments the scratch repair process into distinct modules: variance calculation module to identify scratch regions, dedicated scratch repair module to remove scratches while preserving edges, and separate color cast correction module. This segmentation allows each module to specialize in specific tasks, improving overall precision without requiring sequential processing of general-purpose algorithms.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent performs preliminary variance calculation to identify and isolate scratch regions before applying repair operations. By pre-processing the image to mark scratch locations through variance analysis between original and filtered images, the system prepares targeted repair zones in advance, enabling faster and more precise repair without trial-and-error processing.

Inventive Principle:
Principle #10Preliminary action

2Manufacturing precision

If general-purpose image processing is applied, then processing simplicity is maintained, but color cast correction accuracy deteriorates

Engineering Contradiction:
Improvecolor cast correction accuracyVSAvoidprocessing system complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent applies local quality by implementing separate correction strategies for different image regions. The color cast correction module specifically targets regions identified as having color casts, applying color balance adjustments only where needed rather than uniformly across the entire image. This localized approach improves correction accuracy while reducing unnecessary processing complexity.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent introduces an intermediary variance calculation module that acts as a mediator between the original image and the color correction process. This intermediary step calculates variance to identify regions requiring color correction, providing precise guidance to the color cast correction module and enabling accurate correction without requiring complex manual intervention or overly sophisticated processing systems.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If multiple processing steps are applied sequentially, then repair completeness is improved, but processing efficiency deteriorates

Engineering Contradiction:
Improverepair completenessVSAvoidprocessing efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent merges multiple processing functions into an integrated system where the variance calculation module serves dual purposes: identifying both scratch regions and color cast regions. The scratch repair module and color cast correction module operate in a coordinated manner with shared preprocessing results, eliminating redundant calculations and enabling parallel processing of different repair tasks while maintaining comprehensive repair coverage.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent performs preliminary variance calculation and region identification once at the beginning of the processing pipeline. These preliminary results are then reused by both the scratch repair module and the color cast correction module, avoiding duplicate analysis and enabling efficient parallel processing. By preparing region masks and variance data in advance, the system ensures complete repair coverage without requiring multiple sequential passes through the entire image.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12198310B2Image processing method for performing color migration to correction image according to reference image, and obtaining first scratch image and/or second scratch image so as to obtain scratch repairing image
Publication Date: 2025.01.14 BOE TECHNOLOGY GROUP CO LTD
  • US12198310B2 patent drawing
  • US12198310B2 patent drawing
  • US12198310B2 patent drawing

AI summary

An image processing method and an image processing device are provided. The image processing method includes performing at least one of a scratch repairing step, a dead point repairing step, a denoising step and a color cast correcting step on a to-be-processed video frame. According to the embodiments of the present disclosure, it is able to repair a scratch and a dead point, remove a noise and/or correct color cast for a video frame, thereby to improve a display effect of the video frame.