Vrije Universiteit Brussel

Imec Vzw

Imec

Shanghaitech University

Peter Schelkens

David Blinder

Jan Cornelis

Francky Catthoor

Yajun Ha

Adrian Munteanu

Xinzhe Liu

Fupeng Chen

Bart Jansen

Colas Schretter

Geert Van Der Auwera

Ioannis Andreopoulos

Raees Kizhakkumkara Muhamad

Dessislava Nikolova

Bruno Cornelis

Example embodiments relate to methods for disseminating scaling information and applications thereof in very large scale integration (VLSI) implementations of fixed-point fast Fourier transforms (FFTs). One embodiment includes a method for disseminating scaling information in a system. The system includes a linear decomposable transformation process and an inverse process of the linear decomposable transformation process. The inverse process of the linear decomposable transformation process is defined, in time or space, as an inverse linear decomposable transformation process. The linear decomposable transformation process is separated from the inverse linear decomposable transformation process. The linear decomposable transformation process or the inverse linear decomposable transformation process is able to be performed first and is defined as a linear decomposable transformation I. The other remaining process is performed subsequently and is defined as a linear decomposable transformation II. The method for disseminating scaling information is used for a bit width-optimized and energy-saving hardware implementation.

Method for disseminating scaling information and application thereof in VLSI implementation of fixed-point FFT

A differentiation system for differentiating cells includes an input device configured to receive holographic image data of a microscopic particle in suspension, holographic image data processing logic for converting the holographic image data to the frequency domain by performing a Fourier transform of the holographic image data, and a recognizer configured to determine characterization features of the holographic image data of the microscopic particle in the frequency domain for characterization of the microscopic particle, the characterization features comprising rotationally invariant features.

Fast and robust Fourier domain-based cell differentiation

The invention pertains to a computer-implemented method for compensating motion for a digital holographic video stream, the method comprising: obtaining () a sequence of frames representing consecutive holographic images of a scenery; obtaining () translation and rotation vectors describing a relative motion of at least one object in said scenery between a pair of frames from among said sequence of frames; and applying () an affine canonical transform to a first frame of said pair of frames so as to obtain a predicted frame, said affine canonical transform representing said translation and rotation vectors. The invention also pertains to a computer program product and to an apparatus for compensating motion for a digital holographic video stream.

Method and apparatus for compensating motion for a holographic video stream

A bit stream representing n-dimensional data structures may be encoded and decoded. A part of the data can be mappable within predefined similarity criteria to a part of the data of another data structure. The similarity criteria may include, a spatial or temporal shift of the data. The data structures are typically sequential video frames such as is used in motion estimation and/or compensation of moving pictures, and a part of the data structure may be a block of data within a frame. The shift may be any suitable shift such as linear translation, rotation, or change of size. Digital filtering may be applied to a reference or other frame of data to generate subbands of a set of subbands of an overcomplete representation of the frame by calculations performed at single rate. The digital filtering may be implemented in a separate filter module or in software.

Method and system for subband encoding and decoding of an overcomplete representation of the data structure

Images are subband transformed to create a plurality of subband images. Each subband image includes a plurality of pixels. Each pixel is represented by a plurality of bits with each bit associated to a certain quantization level. Encoding of an image requires scanning essentially all the bits of essentially all the pixels of the image. While scanning in a particular order, one can exploit dependencies within groups of bits consecutively scanned for encoding purposes. Thus, bits of groups can be encoded together. In a subband and transformed image, the scanning order or scanning curve is defined by indicating in which order the system traverses the several subbands and the several quantization levels. One method is characterized in that the set of scanned bits which will be encoded together, and which thus form a group, bits of at least two different sub-images and at least two different quantization levels are recognized.

Methods and apparatus for progressive transmission of subband images

Growing community of inventors

Willebroek, Belgium

Peter Schelkens