Please use this identifier to cite or link to this item:
Title: Hardware and software implementation of a stereoscopic image compression technique for internet connected devices
Authors: Akkad, Ghattas 
Hassan, Moustapha El 
Ayoubi, Rafic 
Affiliations: Department of Computer Engineering 
Department of Electrical Engineering 
Department of Computer Engineering 
Keywords: Data compression--Data compression--Data compression
Image coding
Subjects: Embedded systems (Computer systems)
Field programmable gate arrays
Issue Date: 2017
Publisher: IEEE
Part of: 2017 International Symposium on Networks, Computers and Communications (ISNCC)
Conference: International Symposium on Networks, Computers and Communications Conference (ISNCC) (16-18 May 2017 : Marrakech, Morocco) 
Image acquisition, analysis, compression and transmission have become mandatory tasks in embedded systems and internet connected devices. Compression and size reduction techniques increases the number of images stored on a memory space and reduces bandwidth consumption while increasing transmission speed on a communication channel and internet connected nodes. Images can be compressed and decompressed using different methods and algorithms. With the high demand on quality and the vast increase in size, dedicated processors with reconfigurable hardware such as FPGAs are mainly targeted to implementing faster processing circuits and algorithms for deployable devices. This paper presents a hardware and software implementation for a stereoscopic image compression algorithm using least significant bit watermarking suitable for embedded processors and Internet connected devices minimizing bandwidth consumption where continuous communication is needed.
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Computer Engineering

Show full item record

Record view(s)

checked on Jun 23, 2024

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.