Abstract—this paper presents a VLSI architecture of a frame-based adaptive quantization technique based on the Fast Boundary Adaptation Rule (FBAR). The adaptive quantization algorithm is integrated together with a 128x128 pixel CMOS image sensor array. The pixel operation is based on biologically inspired time-to-first spike encoding scheme. System and circuit level simulations show the successful operation of the proposed architecture
A 192 x 124 pixel CMOS image sensor with pixel-parallel computational architecture enables video rat...
This paper presents a hybrid image compression algorithm based on a novel adaptive quantization algo...
This paper presents a CMOS vision sensor based on a biologically inspired data representation referr...
This paper presents a VLSI architecture of a frame-based adaptive quantization technique based on th...
International audienceThis paper presents the architecture, algorithm and VLSI hardware of image acq...
Abstract — This paper presents the architecture, algorithm and VLSI hardware of image acquisition, s...
This paper presents an algorithm for implementing a single bit adaptive quantizer based on fast boun...
This paper presents the architecture, algorithm and VLSI hardware of image acquisition, storage and ...
The widespead of today’s digital imaging applications, especially the portable devices, require the ...
The recent emergence of new applications in the area of wireless video sensor network and ultra-low-...
In this paper, a CMOS image sensor with on-chip compression processor is proposed. An adaptive quant...
I describe a vision system that uses neurobiological principles to perform all four major operations...
In this paper, a new design paradigm referred to as compressive acquisition CMOS image sensors is in...
An edge-detection scheme suitable for machine vision and digital motion detection applications is pr...
International audienceThis paper is focused on our recent results on the used of local pixel interac...
A 192 x 124 pixel CMOS image sensor with pixel-parallel computational architecture enables video rat...
This paper presents a hybrid image compression algorithm based on a novel adaptive quantization algo...
This paper presents a CMOS vision sensor based on a biologically inspired data representation referr...
This paper presents a VLSI architecture of a frame-based adaptive quantization technique based on th...
International audienceThis paper presents the architecture, algorithm and VLSI hardware of image acq...
Abstract — This paper presents the architecture, algorithm and VLSI hardware of image acquisition, s...
This paper presents an algorithm for implementing a single bit adaptive quantizer based on fast boun...
This paper presents the architecture, algorithm and VLSI hardware of image acquisition, storage and ...
The widespead of today’s digital imaging applications, especially the portable devices, require the ...
The recent emergence of new applications in the area of wireless video sensor network and ultra-low-...
In this paper, a CMOS image sensor with on-chip compression processor is proposed. An adaptive quant...
I describe a vision system that uses neurobiological principles to perform all four major operations...
In this paper, a new design paradigm referred to as compressive acquisition CMOS image sensors is in...
An edge-detection scheme suitable for machine vision and digital motion detection applications is pr...
International audienceThis paper is focused on our recent results on the used of local pixel interac...
A 192 x 124 pixel CMOS image sensor with pixel-parallel computational architecture enables video rat...
This paper presents a hybrid image compression algorithm based on a novel adaptive quantization algo...
This paper presents a CMOS vision sensor based on a biologically inspired data representation referr...
Add to ORKG