146 citations · 178 across the 5 of their papers we have counts for
5 papers
Fully Convolutional Network for Removing DCT Artefacts From Images
Patryk Najgebauer, Rafal Scherer, Leszek Rutkowski
Image compression is one of the essential methods of image processing. Its most prominent advantage is the significant reduction of image size allowing for more efficient storage a…
Fast Image Classification by Boosting Fuzzy Classifiers
Marcin Korytkowski, Leszek Rutkowski, Rafał Scherer
This paper presents a novel approach to visual objects classification based on generating simple fuzzy classifiers using local image features to distinguish between one known class…
Bag-of-Features Image Indexing and Classification in Microsoft SQL Server Relational Database
Marcin Korytkowski, Rafal Scherer, Pawel Staszewski +1
This paper presents a novel relational database architecture aimed to visual objects classification and retrieval. The framework is based on the bag-of-features image representatio…
Multi-layer Architecture For Storing Visual Data Based on WCF and Microsoft SQL Server Database
Rafal Grycuk, Marcin Gabryel, Rafal Scherer +1
In this paper we present a novel architecture for storing visual data. Effective storing, browsing and searching collections of images is one of the most important challenges of co…
Fast Dictionary Matching for Content-based Image Retrieval
Patryk Najgebauer, Janusz Rygal, Tomasz Nowak +4
This paper describes a method for searching for common sets of descriptors between collections of images. The presented method operates on local interest keypoints, which are gener…