SCOPE

Denoising plays crucial role probably in all modalities of bioimaging: it is widely used in medical imaging modalities such as MRI, X-Ray, ultrasound, but in the same time, it is indispensable for advanced techniques of microscopy imaging. Compared with standard imaging conditions as encountered in technical applications, the bioimaging field comes with some unique challenges: often, we have to cope with non-Gaussian character of image noise. In order to preserve information on anatomical structures or cells contained in the image, preservation of object edges is of high importance.

In the past years, number of advanced methods have emerged, often well suited to cope with these requirements, such as the mutiscale and wavelet methods and their novel modifications or various versions of non-local means methods to name but two major directions of algorithmic development.

However, the improved performance often comes at computational costs and various approximative schemes or specialized parallel hardware have to be utilized in order to achieve acceptable computational performance. There are still many challenging tasks both in improving denoising performance and in getting proper balance between denoising performance and acceptable execution speed.

With this Special Session, we would like to bring together both experts specialized rather in algorithmic development and those more interested in the implementation part of the story, also in embedded systems. We would like to contribute to discussion between both groups, since the complex view of algorithms in the context of underlying hardware is necessary.



TOPICS

The topics of this Special Session includes, but is not limited to:

- advanced algorithms for bioimage denoising
- algorithms for reducing non-Gaussian or mixed noise
- algorithms for multidimensional images
- practical implementations, plugins for ImageJ, Fiji, Icy,...
- advanced denoising methods for microscopy
- fast implementations using GPU or special computational architectures
- new approaches to image denoising and restoration: deep learning and others

IMPORTANT DATES

SPECIAL SESSION PROGRAM COMMITTEE

PAPER SUBMISSION

PUBLICATIONS

SECRETARIAT CONTACTS