scispace - formally typeset
Open Access

Removal of blotches and line scratches from film and video sequences using a digital restoration chain.

Alexandre Ulisses Silva, +1 more
- pp 826-829
Reads0
Chats0
TLDR
A digital restoration chain for the removal of line scratches and blotches was conceived and implemented and the basic elements of the chain are the digital encoder, the artifacts generator, the artifact detectors, the interpolators and the quality measurer.
Abstract
Line scratches and blotches are two of the most common and annoying artifacts of image sequences. A digital restoration chain for the removal of these artifacts was conceived and implemented. The basic elements of the chain are the digital encoder, the artifact generator, the artifact detectors, the interpolators and the quality measurer. The digital encoder has the mission to convert analogue sequences into digital ones and, if necessary, to make a format conversion. The artifact generator allows quantitative and qualitative tests of the restoration algorithms. If we have access to the original non-degraded sequence we can add, in a controlled way, artifacts with the generator, and then measure efficiently the quality of the restoration algorithms, since we have the original, the degraded and the restored sequences to compare. In a real restoration process, the degraded sequence is directly applied to the artifact detector. The artifact detector finds the degraded regions in the image and, somehow, marks them. The interpolator replaces the marked degraded pixels with others that are the result of an interpolation algorithm. Finally, the quality measurer rates the quality of the restored sequence.

read more

Content maybe subject to copyright    Report

Citations
More filters
Proceedings ArticleDOI

Scratch detection supported by coherency analysis of motion vector fields

TL;DR: The proposed method allows a fast scratch detection and removal in an automatic environment without human interaction, and utilizes the fact that scratches are typically uncorrelated to the underlying image content and behavior.
Proceedings ArticleDOI

Blotches correction and contrast enhancement for old film pictures

TL;DR: A complete system for old picture restoration is described: in particular, a frame alignment method, a simple deblotching algorithm and a nonlinear approach for contrast enhancement are proposed.
Journal Article

Adaptive Non-linear Filtering Technique for Image Restoration

TL;DR: A decisionbased nonlinear algorithm for elimination of band lines, drop lines, mark, band lost and impulses in images is presented and the advantage of the proposed algorithm is that a single algorithm can replace several independent algorithms which are required for removal of different artifacts.
Journal ArticleDOI

A Nonlinear Decision-Based Algorithm for Removal of Strip Lines, Drop Lines, Blotches, Band Missing and Impulses in Images and Videos

TL;DR: A decision-based nonlinear algorithm for removal of strip lines, drop lines, blotches, band missing, and impulses in images is presented and a single algorithm can replace several independent algorithms required for Removal of different artifacts.
Proceedings ArticleDOI

Removing noise in a digital image using a new entropy method based on intuitionistic fuzzy sets

TL;DR: A novel framework which is aimed to process gray images by appropriately converting digital colors to intuitionistic fuzzy numbers in a generalized framework and tends to remove noise impairments while processing the damaged images is proposed.
References
More filters
DissertationDOI

Motion picture restoration

Anil Kokaram
TL;DR: In this article, a 3D multilevel median structure was proposed to suppress the impulsive distortion (Dirt and Sparkle or Blotches) and noise degradation in video sequences.
Journal ArticleDOI

New image restoration performance measures with high precision

TL;DR: This work addresses the issues of performance assessment of image restoration and proposes a unified framework for the performance measure, and introduces a metric for pixel fidelity improvement and incorporates the main properties of the human visual system into the measurement.
Related Papers (5)