Shadow Image Enlargement Distortion Removal
Raid R. Al-Nima, Ali N. Hamoodi, Radhwan Y. Al-Jawadi, Ziad S., Mohammad

TL;DR
This paper proposes a preprocessing approach involving interpolation, averaging, and unsharp filtering to reduce distortions in enlarged shadow images, aiming to produce images closer to the original.
Contribution
It introduces a specific sequence of preprocessing steps to minimize distortion in shadow image enlargement, improving image quality over traditional methods.
Findings
Preprocessing reduces enlargement distortions effectively.
Optimal interpolation and filter parameters improve image similarity.
Method outperforms basic enlargement techniques in preserving image quality.
Abstract
This project aims to adopt preprocessing operations to get less distortions for shadow image enlargement. The preprocessing operations consists of three main steps: first enlarge the original shadow image by using any kind of interpolation methods, second apply average filter to the enlargement image and finally apply the unsharp filter to the previous averaged image. These preprocessing operations leads to get an enlargement image very close to the original enlarge image for the same shadow image. Then comparisons established between the adopted image and original image by using different types of interpolation and different alfa values for unsharp filter to reach the best way which have less different errors between the two images.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Image Processing Techniques · Image and Signal Denoising Methods · Advanced Image Fusion Techniques
