Shadow Image Enlargement Distortion Removal

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.