18 research outputs found
Simple Signal Extension Method for Discrete Wavelet Transform
Discrete wavelet transform of finite-length signals must necessarily handle
the signal boundaries. The state-of-the-art approaches treat such boundaries in
a complicated and inflexible way, using special prolog or epilog phases. This
holds true in particular for images decomposed into a number of scales,
exemplary in JPEG 2000 coding system. In this paper, the state-of-the-art
approaches are extended to perform the treatment using a compact streaming
core, possibly in multi-scale fashion. We present the core focused on CDF 5/3
wavelet and the symmetric border extension method, both employed in the JPEG
2000. As a result of our work, every input sample is visited only once, while
the results are produced immediately, i.e. without buffering.Comment: preprint; presented on ICSIP 201
The Parallel Algorithm for the 2-D Discrete Wavelet Transform
The discrete wavelet transform can be found at the heart of many
image-processing algorithms. Until now, the transform on general-purpose
processors (CPUs) was mostly computed using a separable lifting scheme. As the
lifting scheme consists of a small number of operations, it is preferred for
processing using single-core CPUs. However, considering a parallel processing
using multi-core processors, this scheme is inappropriate due to a large number
of steps. On such architectures, the number of steps corresponds to the number
of points that represent the exchange of data. Consequently, these points often
form a performance bottleneck. Our approach appropriately rearranges
calculations inside the transform, and thereby reduces the number of steps. In
other words, we propose a new scheme that is friendly to parallel environments.
When evaluating on multi-core CPUs, we consistently overcome the original
lifting scheme. The evaluation was performed on 61-core Intel Xeon Phi and
8-core Intel Xeon processors.Comment: accepted for publication at ICGIP 201
Seventeen ‘extinct’ plant species back to conservation attention in Europe
Seventeen European endemic plant species were considered extinct, but improved taxonomic and distribution knowledge as well as ex situ collecting activities brought them out of the extinct status. These species have now been reported into a conservation framework that may promote legal protection and in situ and ex situ conservation.info:eu-repo/semantics/publishedVersio
Comparison of Lossless Image Formats
In recent years, a bag with image and video compression formats has been torn. However, most of them are focusedon lossy compression and only marginally support the lossless mode. In this paper, I will focus on lossless formatsand the critical question: "Which one is the most efficient?" It turned out that FLIF is currently the most efficientformat for lossless image compression. This finding is in contrast to that FLIF developers stopped its developmentin favor of JPEG XL