Proceedings ArticleDOI
Image interpolation using mathematical morphology
Alessandro Ledda,Hiep Luong,Wilfried Philips,V. De Witte,Etienne Kerre +4 more
- pp 358-367
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TLDR
A new method for interpolating binary images that outperforms existing techniques, based on mathematical morphology, a theoretical framework to alter an image while preserving the image objects' geometry.Abstract:
We present a new method for interpolating binary images that outperforms existing techniques. Bitmapped images have a specific horizontal and vertical resolution. When we magnify such an image, we want the resolution to be increased, allowing more details in the image. However, these extra details are not present in the original image. A blowup of the image using simple interpolation will introduce jagged edges, also called "jaggies". We present a new interpolation technique "mmINT", which avoids these errors. It is based on mathematical morphology, a theoretical framework to alter an image while preserving the image objects' geometry. The algorithm detects jaggies in the blown up image and removes them, making the edges smoother. This is done by replacing specific black pixels with white pixels, and vice versa. The results show that mmINT is a superior technique for the interpolation of binary images, like logos, diagrams, cartoons and maps.read more
Citations
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Proceedings ArticleDOI
Non-Local Image Interpolation
TL;DR: A novel method for interpolating images and the concept of non-local interpolation is introduced, which exploits the repetitive character of the image and its superiority at very large magnifications to other interpolation methods.
Book ChapterDOI
Optimization of Bilinear Interpolation Based on Ant Colony Algorithm
TL;DR: This paper proposes a novel method optimizing the bilinear interpolation using Ant Colony Algorithm (ACA), which applies the ant colony algorithm to find a reasonable value from all the directions in the neighborhoods of the unknown point.
Book ChapterDOI
An image interpolation scheme for repetitive structures
TL;DR: In this article, the unknown pixel value is not estimated based on its local surrounding neighbourhood, but on the whole image, which leads to a better reconstruction of the interpolated image.
Proceedings ArticleDOI
Image interpolation based on the pixel value corresponding to the smallest absolute difference
TL;DR: In this paper, the authors proposed a method based on reprocessing one of the four pixels surrounding the unknown location and calculating the mean between that pixel and the value introduced by the bilinear interpolation.
References
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Book
Image Analysis and Mathematical Morphology
TL;DR: This invaluable reference helps readers assess and simplify problems and their essential requirements and complexities, giving them all the necessary data and methodology to master current theoretical developments and applications, as well as create new ones.
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Morphological Image Analysis: Principles and Applications
TL;DR: This self-contained volume will be valuable to all engineers, scientists, and practitioners interested in the analysis and processing of digital images.
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Computer and Robot Vision
TL;DR: This two-volume set is an authoritative, comprehensive, modern work on computer vision that covers all of the different areas of vision with a balanced and unified approach.
Journal ArticleDOI
Example-based super-resolution
TL;DR: This work built on another training-based super- resolution algorithm and developed a faster and simpler algorithm for one-pass super-resolution that requires only a nearest-neighbor search in the training set for a vector derived from each patch of local image data.