Abstract
In the last decade, the improvements in VLSI levels and image sensor technologies have led to a frenetic rush to provide image sensors with higher resolutions and faster frame rates. As a result, video devices were designed to capture real-time video at high-resolution formats with frame rates reaching 1,000 fps and beyond. These ultrahigh-speed video cameras are widely used in scientific and industrial applications, such as car crash tests, combustion research, materials research and testing, fluid dynamics, and flow visualization that demand real-time video capturing at extremely high frame rates with high-definition formats. Therefore, data storage capability, communication bandwidth, processing time, and power consumption are critical parameters that should be carefully considered in their design. In this paper, we propose a fast FPGA implementation of a simple codec called modulo-pulse code modulation (MPCM) which is able to reduce the bandwidth requirements up to 1.7 times at the same image quality when compared with PCM coding. This allows current high-speed cameras to capture in a continuous manner through a 40-Gbit Ethernet point-to-point access.
Highlights
Video compression has been an extremely successful technology that has found its commercial application across many areas from scientific and industrial applications as video archiving, high-quality medical video, surveillance and security applications to the audiovisual industry (TV and cinema) and the broad spectrum of video appliances available in the market, such as digital cameras, DVD, Blue-Ray, and DVB.In the last decade, the improvements in VLSI levels and image sensor technologies have led to a frenetic rush to provide image sensors with higher resolutions and faster frame rates
We present the performance evaluation of the complete system in terms of peak signalto-noise ratio (PSNR), encoding/decoding times, board area usage, maximum frame rate, and speed-ups obtained when compared to a CPU sequential algorithm
We have assigned values to the coding/decoding parameters so as to obtain the best result on average of PSNR for a given bit-rate, there may be other combinations of parameters that would optimize a particular image as proposed by Marleen Morbee in [19]
Summary
Video compression has been an extremely successful technology that has found its commercial application across many areas from scientific and industrial applications as video archiving, high-quality medical video, surveillance and security applications to the audiovisual industry (TV and cinema) and the broad spectrum of video appliances available in the market, such as digital cameras, DVD, Blue-Ray, and DVB.In the last decade, the improvements in VLSI levels and image sensor technologies have led to a frenetic rush to provide image sensors with higher resolutions and faster frame rates. Our proposed implementation design first divides the image/frame into N set of pixels, where one of the resulting pixels is encoded using PCM and the rest of them with MPCM.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
