Paper
8 May 2001 FPGA architecture for a videowall image processor
Alessandro Skarabot, Giovanni Ramponi, Luigi Buriola
Author Affiliations +
Proceedings Volume 4304, Nonlinear Image Processing and Pattern Analysis XII; (2001) https://doi.org/10.1117/12.424964
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
Abstract
This paper proposes an FPGA architecture for a videowall image processor. To create a videowall, a set of high resolution displays is arranged in order to present a single large image or smaller multiple images. An image processor is needed to perform the appropriate format conversion corresponding to the required output configuration, and to properly enhance the image contrast. Input signals either in the interlaced or in the progressive format must be managed. The image processor we propose is integrated into two different blocks: the first one implements the deinterlacing task for a YCbCr input video signal, then it converts the progressive YCbCr to the RGB data format and performs the optional contrast enhancement; the other one performs the format conversion of the RGB data format. Motion-adaptive vertico-temporal deinterlacing is used for the luminance signal Y; the color difference signals Cb and Cr instead are processed by means of line average deinterlacing. Image contrast enhancement is achieved via a modified Unsharp Masking technique and involves only the luminance Y. The format conversion algorithm is the bilinear interpolation technique employing the Warped Distance approach and is performed on the RGB data. Two different subblocks have been considered in the system architecture since the interpolation is performed column-wise and successively row- wise.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alessandro Skarabot, Giovanni Ramponi, and Luigi Buriola "FPGA architecture for a videowall image processor", Proc. SPIE 4304, Nonlinear Image Processing and Pattern Analysis XII, (8 May 2001); https://doi.org/10.1117/12.424964
Lens.org Logo
CITATIONS
Cited by 7 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image processing

Data conversion

Image enhancement

Signal processing

Field programmable gate arrays

Video

RGB color model

Back to Top