A new method that is 700 times faster than the norm is developed to magnify digital images
From the post:
Aránzazu Jurío-Munárriz, a graduate in computer engineering from the NUP/UPNA-Public University of Navarre, has in her PhD thesis presented new methods for improving two of the most widespread means used in digital image processing: magnification and thresholding. Her algorithm to magnify images stands out not only due to the quality obtained but also due to the time it takes to execute, which is 700 times less than other existing methods that obtain the same quality.
Image processing consists of a set of techniques that are applied to images to solve two problems: to improve the visual quality and to process the information contained in the image so that a computer can understand it on its own.
Nowadays, image thresholding is used to resolve many problems. Some of them include remote sensing where it is necessary to locate specific objects like rivers, forests or crops in aerial images; the analysis of medical tests to locate different structures (organs, tumours, etc.), to measure the volumes of tissue and even to carry out computer-guided surgery; or the recognition of patterns, for example to identify a vehicle registration plate at the entrance to a car park or for personal identification by means of fingerprints. “Image thresholding separates out each of the objects that comprise the image,” explains Aránzazu Jurío. To do this, each of the pixels is analysed so that all the ones sharing the same features are considered to form part of the same object.”
The thesis entitled “Numerical measures for image processing. Magnification and Thresholding” has produced six papers, which have been published in the most highly rated journals in the field.
Sounds great but I wasn’t able to quickly find any accessible references to point out.