Paper Info
Title
Implementations Of On Sensor Image Compression And Comparisons Between Pixel And Column Parallel Architectures
Abstract
In order to enhance performance of an image sensor, we have been investigating a novel integration of compression and sensing. By this integration, the image signal that has to be readout from the sensor is significantly reduced. Thus, the integration can consequently leads to high pixel rate sensing. The compression scheme we make use of is conditional replenishment that detects and encodes moving areas. We have developed prototypes based on two different architectures, that are pixel parallel and column parallel architectures. In this paper, we present the two prototypes and their comparisons, and show the results obtained by them.
Year
DOI
Venue
1997
10.1109/ICIP.1997.638736
INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL II
Keywords
Field
DocType
biosensors,signal processing,image sensor,performance,pixel,data compression,image sensors,image compression,signal detection,prototypes
Compression (physics),Signal processing,Computer vision,Detection theory,Image sensor,Computer science,Implementation,Artificial intelligence,Pixel,Data compression,Image compression
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Kiyoharu Aizawa11836292.43
Takayuki Hamamoto211134.87
Yasuhiro Ohtsuka353.64
Hatori M4196525.40
M. Abe5319.82