A Motion compensated filtering approach to remove sunlight flicker in shallow water images

A common problem in video surveys in very shallow waters is the presence of strong light fluctuations, due to sun light refraction. Refracted sunlight casts fast moving patterns, which can significantly degrade the quality of the acquired data. Motivated by the growing need to improve the quality of shallow water imagery, we propose a method to remove sunlight patterns in video sequences. The method exploits the fact that video sequences allow several observations of the same area of the sea floor, over time. It is based on computing the image difference between a given reference frame and the temporal median of a registered set of neighboring images. A key observation is that this difference will have two components with separable spectral content. One is related to the illumination field (lower spatial frequencies) and the other to the registration error (higher frequencies). The illumination field, recovered by lowpass filtering, is used to correct the reference image. In addition to removing the sunflickering patterns, an important advantage of the approach is the ability to preserve the sharpness in corrected image, even in the presence of registration inaccuracies. The effectiveness of the method is illustrated in image sets acquired under strong camera motion containing non-rigid benthic structures. The results testify the good performance and generality of the approach

Tutorial on Searching for Images

An online tutorial showing how to obtain images which are suitable for teaching purposes, where there are no copyright issues to resolve!

The Tyne Digital Library - Part 2 Maps and Images

In this section, you will find maps showing various important aspects of the River Tyne catchment area. All the maps are drawn based on Ordnance Survey data made available via the Digimap service. For the land cover maps of the catchment area, four variants are provided. Please note that the full details of the intext citations quoted in some of the following maps can be found in the full bibliographic listing.

Scanning Images

Sometimes you may need to scan in photographs, books or magazines. Scanning is the easy part but making sure your settings are right is the important part. Scan at 300dpi to the size you need to print A4 scanner but you need A3 print - no problem scan at 600dpi Always scan as a TIFF file format as this will give you a non compressed source to work from.

Getting images from a Digital Camera

Getting images from a Digital Camera is pretty straight forward. However this is the easy part, its getting the right image and making sure your digital file is good enough for your output. Set you camera or mobile phone to the highest settings, this will give you more options when you come to manipulate or edit the file Remember to make copies of files for editing so you can always return to your original image if you need too

Getting Images from the Internet

Its easy to collect images from the internet for research.

VADS: free art and design images for education

VADS is the online resource for visual arts. It has provided services to the academic community for 12 years and has built up a considerable portfolio of visual art collections comprising over 100,000 images that are freely available and copyright cleared for use in learning, teaching and research in the UK.

ALEX SCHADY IMAGES FOR FINE ART CATALOGUE

student images for fine art catalogue

Copyright Free Images - Physical Chemistry

These images have been created for use in Physical Chemistry slides to overcome copyright issues when recording lectures. They are free to use without restrictions, although we do not accept responsibility for any errors in the images. Please let us know if you spot any errors, though! Please view the catalogue document for a description of the images. We intend to add to this collection on an ongoing basis. Check back for updates. Current content - 43 images. Last update: August 31st 2011

Working with images : a resource book for the language classroom.

El recurso tiene un doble propósito: reevaluar el papel de la imagen visual, y animar a los profesores a experimentar y acceder a las imágenes por sí mismos. Contiene más de setenta y cinco ideas para la enseñanza práctica del idioma en el aula. Las actividades involucran el uso de baja y de alta tecnología y las imágenes son adecuadas para una amplia variedad de contextos de enseñanza: alumnos jóvenes y adultos; inglés general y especializado; aulas mucho o mínimamente equipadas. Las actividades pueden ser utilizadas en cualquier orden y en cualquier momento del curso. Además, su diseño permite a los profesores adaptar y aplicar las ideas de otros temas. El CD-ROM contiene un banco de imágenes listo para su uso en el aula. Está diseñado para satisfacer las necesidades tanto de los nuevos profesores de idiomas como de los experimentados.

Images.

Se muestra cómo prácticamente cualquier actividad basada en el texto se puede mejorar mediante el uso de imágenes. Se a argumenta que palabras e imágenes son inseparables y cómo se pueden utilizar para apoyar la enseñanza de idiomas. Se examinan las posibilidades de uso de una amplia gama de imágenes, incluyendo arte, fotografía, publicidad, internet y las generadas por el estudiante. Incluye más de sesenta actividades y más de treinta imágenes.

The powerful pull of brain images. 'El enorme poder de atracción de las imágenes cerebrales'.

Resumen basado en el de la publicación

Effects of exposure to food images on physiological reactivity and emotional responses in women with bulimia nervosa

Resumen tomado de la publicación

Automatic mass segmentation in mammographic images

Aquesta tesi està emmarcada dins la detecció precoç de masses, un dels símptomes més clars del càncer de mama, en imatges mamogràfiques. Primerament, s'ha fet un anàlisi extensiu dels diferents mètodes de la literatura, concloent que aquests mètodes són dependents de diferent paràmetres: el tamany i la forma de la massa i la densitat de la mama. Així, l'objectiu de la tesi és analitzar, dissenyar i implementar un mètode de detecció robust i independent d'aquests tres paràmetres. Per a tal fi, s'ha construït un patró deformable de la massa a partir de l'anàlisi de masses reals i, a continuació, aquest model és buscat en les imatges seguint un esquema probabilístic, obtenint una sèrie de regions sospitoses. Fent servir l'anàlisi 2DPCA, s'ha construït un algorisme capaç de discernir aquestes regions són realment una massa o no. La densitat de la mama és un paràmetre que s'introdueix de forma natural dins l'algorisme.