An Efficient FPGA Implementation of Video Enhancement Algorithm
Real Time Applications
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Images/Videos are being used in various kinds of applications as the source of information like outdoor surveillance. Some cameras are not able to perform well in different conditions e.g. low, complex and nonlinear lighting conditions. There is a need of high performance video enhancement system that can fulfill the severe system requirements. We proposed the FPGA (Field Programmable Gate Array) architecture in which input frame is inverted and ALE (Air Light Estimation) and TE (Transmission Estimation) is formed on this inverted frame. After ALE and TE enhanced frame is obtained and then inv...
Images/Videos are being used in various kinds of applications as the source of information like outdoor surveillance. Some cameras are not able to perform well in different conditions e.g. low, complex and nonlinear lighting conditions. There is a need of high performance video enhancement system that can fulfill the severe system requirements. We proposed the FPGA (Field Programmable Gate Array) architecture in which input frame is inverted and ALE (Air Light Estimation) and TE (Transmission Estimation) is formed on this inverted frame. After ALE and TE enhanced frame is obtained and then inverted again. The architecture is synthesized on Virtex-6 family of FPGA (XC6VLX75T FF884). The architecture meets real time to compute 200 Mpixels/sec and architecture can enhance 640x480 resolution frame in 172.65 µs. The Proposed architecture cops with multiple level-dependent computations by using pipelining that can achieve the high throughput which is favorable for real time applications
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