FPGA implementation of Convolution algorithm for Image Processing

Mohassin Ahmad

ISBN 10: 620201394X / ISBN 13: 9786202013949

Published by LAP LAMBERT Academic Publishing Mär 2019, 2019

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -The multidisciplinary field of digital image processing has experienced a tremendous growth over the past decade. Many image processing operations such as scaling and rotation require re-sampling or convolution filtering for each pixel in the image. Convolutions on digital images are important since they represent operations that are more general than the operations that can be performed on analog images. Filtering of signals is very important in order to determine which one to accept and which one to reject, and all of that is done by convolution. Image processing tasks such as filtering, stereo correspondence and feature detection are inherently highly parallelisable. The use of FPGAs (Field Programmable Gate Arrays), which can be operated in highly parallel configurations, can thus be a useful approach in imaging applications. FPGA is a reconfigurable device used to place some or all of the system onto the hardware. They allow rapid prototyping of a system and offer an inexpensive option to validate system requirements.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.

Seller Inventory # 9786202013949

Bibliographic Details

• Title: FPGA implementation of Convolution algorithm for Image Processing
• Publisher: LAP LAMBERT Academic Publishing Mär 2019
• Publication Date: 2019
• Language: English
• ISBN 10: 620201394X
• ISBN 13: 9786202013949
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 102 grams

About this title

Synopsis

The multidisciplinary field of digital image processing has experienced a tremendous growth over the past decade. Many image processing operations such as scaling and rotation require re-sampling or convolution filtering for each pixel in the image. Convolutions on digital images are important since they represent operations that are more general than the operations that can be performed on analog images. Filtering of signals is very important in order to determine which one to accept and which one to reject, and all of that is done by convolution. Image processing tasks such as filtering, stereo correspondence and feature detection are inherently highly parallelisable. The use of FPGAs (Field Programmable Gate Arrays), which can be operated in highly parallel configurations, can thus be a useful approach in imaging applications. FPGA is a reconfigurable device used to place some or all of the system onto the hardware. They allow rapid prototyping of a system and offer an inexpensive option to validate system requirements.