Papers by Badreddine Rejeb
Integer division in residue number system
ICECS 2001. 8th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.01EX483)
Division, sign detection and number comparison are the more difficult operations in residue numbe... more Division, sign detection and number comparison are the more difficult operations in residue number systems (RNS). These shortcomings limited most RNS implementations to additions, subtractions and multiplications. In this paper, a high level description of a RNS division algorithm is proposed. A general hardware architecture of the algorithm for division by a constant as well as its application to fractal image coding are also presented.
Mediterranean Electrotechnical Conference, May 29, 2000
In this paper, a high throughput hardware/software architecture for real time fractal coding is p... more In this paper, a high throughput hardware/software architecture for real time fractal coding is presented. The encoder is characterised by a reduced domain pool and an optimal luminance transformation parameter calculation. The self-similarity search is implemented in a parallel architecture allowing the processing of a couple of 4x4 blocks simultaneously.
Hardware-based monitoring method for all-optical components
2007 ICTON Mediterranean Winter Conference, 2007
In emerging all-optical networks (AONs), efficient monitoring and estimation of signal quality al... more In emerging all-optical networks (AONs), efficient monitoring and estimation of signal quality along a lightpath are of highest interest because of their importance in diagnosing and assessing the overall health of the network. This is because transmission in these networks is limited by a number of effects such as optical crosstalk and amplified spontaneous emission. In particular, crosstalk is additive
Hardware/Software Implementation of Real- Time Fractal Image Coding
Abstract-- Fractal image compression insures high compression ratio and image fidelity, however, ... more Abstract-- Fractal image compression insures high compression ratio and image fidelity, however, it suffers from long encoding time. Real time fractal coding requires high throughput not achievable by software implementations or with general digital signal processor. In this paper, a high throughput hardware/software architectures for real time fractal coding are presented. The encoder is characterised by a reduced domain pool and an optimal luminance transformation parameter calculation. The blocks classification and the domain pool reduction are implemented in real time with software. Two different hardware architectures, based on binary and Residue Number System, are proposed for the implementation of the self- similarity search. The proposed architectures allow the processing of a couple of 4x4 blocks simultaneously with a data input clock of 276 MHz. I.
Real time implementation of image compression algorithms on ASICs
Proceedings of 13th International Conference on Digital Signal Processing, 1997
In this paper we propose a time improved fractal image coder with a reduced domain pool and optim... more In this paper we propose a time improved fractal image coder with a reduced domain pool and optimal luminance transform parameters calculation. This scheme is applicable to the Fischer's classification method. We accelerate the encoding process by reducing the domain pool and then by minimizing the number of operations for the similarity search; this reduction is based on discarding the domains with nearly the same variance from each class of the domain pool. This approach provides a greater speed up with a slight loss in the compression ratio and a slight improvement in the image quality. In our experiments an acceleration of 6.7 for the image "Lena" is reached with a good decoded image quality. For a speed up factor of 2 the compression ratio is about 0.8% reduced and the image quality is about 0.23% improved. In order to increase the compression ratio again, we use Jaquin's method and we remove some of the range blocks with shade property from the search.
Hardware-based monitoring method for all-optical components
2007 ICTON Mediterranean Winter Conference, 2007
In emerging all-optical networks (AONs), efficient monitoring and estimation of signal quality al... more In emerging all-optical networks (AONs), efficient monitoring and estimation of signal quality along a lightpath are of highest interest because of their importance in diagnosing and assessing the overall health of the network. This is because transmission in these networks is limited by a number of effects such as optical crosstalk and amplified spontaneous emission. In particular, crosstalk is additive
Design of monitoring device block for all-optical components
2007 ICTON Mediterranean Winter Conference, 2007
Performance management is still a major complication for all-optical networks (AONs). In particul... more Performance management is still a major complication for all-optical networks (AONs). In particular, signal quality monitoring is too difficult in AONs as the analogue nature of optical signals means that miscellaneous transmission impairments aggregate and can impact the signal quality enough to reduce the Quality of Service (QoS) without precluding all network services. This results in the continuous monitoring and
Abstract-- Fractal image compression insures high compression ratio and image fidelity, however, ... more Abstract-- Fractal image compression insures high compression ratio and image fidelity, however, it suffers from long encoding time. Real time fractal coding requires high throughput not achievable by software implementations or with general digital signal processor (DSP). In this paper, a high throughput hardware/software architecture for real time fractal coding is presented. The encoder is characterised by a reduced domain pool and an optimal luminance transformation parameter calculation. The self- similarity search is implemented in a parallel architecture allowing the processing of a couple of 4x4 blocks simultaneously.
Abstract--fractal Image Compression Insures High
compression ratio and image fidelity, however, it suffers from long encoding time. Real time frac... more compression ratio and image fidelity, however, it suffers from long encoding time. Real time fractal coding requires high throughput not achievable by software implementations or with general digital signal processor. In this paper, a high throughput hardware/software architectures for real time fractal coding are presented. The encoder is characterised by a reduced domain pool and an optimal luminance transformation parameter calculation. The blocks classification and the domain pool reduction are implemented in real time with software. Two different hardware architectures, based on binary and Residue Number System, are proposed for the implementation of the self-similarity search. The proposed architectures allow the processing of a couple of 4x4 blocks simultaneously with a data input clock of 276 MHz.
Design of Fractal Image Compression on SOC
2008 IEEE Computer Society Annual Symposium on VLSI, 2008
Design of Fractal Image Compression on SOC
2008 IEEE Computer Society Annual Symposium on VLSI, 2008
Design of Fractal Image Compression on SOC
2008 IEEE Computer Society Annual Symposium on VLSI, 2008
Real-time implementation of fractal image encoder
A new approach for the speed up of fractal image coding
Design of Fractal Image Compression on SOC
The technological revolution during the last years has carried out a great evolution especially i... more The technological revolution during the last years has carried out a great evolution especially in the multimedia domain. Nowadays, almost everyone benefits from various video applications such as TV broadcasting and video conferencing. This progress involves particularly an increase in the capacity of digital data transmission. As a result, data compression became increasingly significant for storage and transmission. In this
Hardware-based monitoring method for all-optical components
In emerging all-optical networks (AONs), efficient monitoring and estimation of signal quality al... more In emerging all-optical networks (AONs), efficient monitoring and estimation of signal quality along a lightpath are of highest interest because of their importance in diagnosing and assessing the overall health of the network. This is because transmission in these networks is limited by a number of effects such as optical crosstalk and amplified spontaneous emission. In particular, crosstalk is additive and can be exploited to perform service disruption attacks upon the whole network. Since these attacks can spread rapidly through the network, causing additional awkward failures and triggering multiple undesirable alarms, they must be detected and identified at any point in the network where they may occur. Due to network transparency, this requires particularly the availability of expert diagnostic techniques to measure and control the smallest granular component, the wavelength channel. However, to monitor all wavelengths at several detection points in a node is likely to be a very expensive solution. In this paper we briefly overview optical crosstalk mechanisms that arise in AON components. We then propose a hardware-based method for monitoring performance degradation in AON components that can participate in some tasks for performance management of AONs.
Design of monitoring device block for all-optical components
Performance management is still a major complication for all-optical networks (AONs). In particul... more Performance management is still a major complication for all-optical networks (AONs). In particular, signal quality monitoring is too difficult in AONs as the analogue nature of optical signals means that miscellaneous transmission impairments aggregate and can impact the signal quality enough to reduce the Quality of Service (QoS) without precluding all network services. This results in the continuous monitoring and
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Papers by Badreddine Rejeb