Outline. We show our results on various datasets, including images taken with the Lytro by Tao et al. [2013] and our own dataset, images from the Stanford light field dataset [sta, 2008] and results on an artificial dataset [Wanner et al., 2013]. Furthermore, we expand on details such as the triangular function and the selection of the parameters. Finally, we discuss implications of our no-occl...

We present Fashion-MNIST, a new dataset comprising of 28 × 28 grayscale images of 70, 000 fashion products from 10 categories, with 7, 000 images per category. The training set has 60, 000 images and the test set has 10, 000 images. Fashion-MNIST is intended to serve as a direct dropin replacement for the original MNIST dataset for benchmarking machine learning algorithms, as it shares the same...

In this paper, we introduce a new large-scale face dataset named VGGFace2. The dataset contains 3.31 million images of 9131 subjects, with an average of 362.6 images for each subject. Images are downloaded from Google Image Search and have large variations in pose, age, illumination, ethnicity and profession (e.g. actors, athletes, politicians). The dataset was collected with three goals in min...

Synthetic aperture radar (SAR) images due to the usage of coherent imaging systems are affected by speckle. So lots of despeckling filters have been introduced up to now to suppress the speckle. Hence, objective and subjective evaluation of the denoised SAR images becomes a necessity. Thereby lots of objective evaluating estimators are introduced to evaluate the performance of despeckling filte...

In this paper a method for the automated identification of tree species from images of leaves, bark and needles is presented. The automated identification of leaves uses local features to avoid segmentation. For the automated identification of images of the bark this method is compared to a combination of GLCM and wavelet features. For classification a Support Vector machine is used. The needle...

the fusion of medical images is very useful for clinical application. generally, the pet image indicates the function of tissue and the mri image shows the anatomy of tissue. in this article we fused mri and pet images and the purpose is adding structural information from mri to pet image. the images decomposed with curvelet transform, and then two images fused with applying fusion rules. we us...

Textbook details: Integrating Technology for Meaningful Learning, Second Edition Grabe, Mark (Professor and Head, Department of Psychology, University of North Dakota and Grabe, Cindy (Technology Facilitator, Grand Forks Schools, North Dakota) 1998, Houghton Mifflin Company, 222 Berkley Street, Boston, MA 02116 USA (ISBN 0 395 87136 0) Pages, 451; parts, 3; chapters, 11; glossary; references; c...

Visual question answering on document images that contain textual, visual, and layout information, called VQA, has received much attention recently. Although many datasets have been proposed for developing VQA systems, most of the existing focus understanding content relationships within a single image not across multiple images. In this study, we propose new multi-image dataset, SlideVQA, cont...

This is a photographic dataset collected for testing image processing algorithms. The idea is to have sets of different but statistically similar images. In this work the images show randomly distributed peppercorns. The dataset is made available at this URL.