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Real-time removal of localized hotspots, when combined with automatic histogram equalization, may enhance resolution of objects directly adjacent.

Contrast-regulated unsharp masking enhances differentially shadowed or otherwise low-contrast image regions. Video-rate dynamic range adjustment subdues fluctuations in image intensity, thereby assisting discrimination of small or low- contrast objects. Video image sequences can be exploited in real-time, giving analysts rapid access to information for military or criminal investigations. Video enhancement workbench: an operational real-time video image processing system Finally, to use this metric in real-world applications, we present an example emerging application of real-time quality measurement to the management of transmitted videos, especially those delivered to mobile devices. Furthermore, an enhanced algorithm based on the G.1070 model that provides more accurate quality prediction is proposed. We first propose a scheme to efficiently estimate the three parameters from video bitstreams, so that it can be used as a real-time video quality monitoring tool. In this article, we present a real-time video quality monitoring solution based on this Recommendation. And there is a great room for the performance improvement of this quality metric. It cannot be directly used for quality monitoring since the above three input parameters are not readily available within a network or at the decoder. However, this model was original designed as an offline quality planning tool. The ITU-T Recommendation G.1070 is a standardized opinion model for video telephony applications that uses video bitrate, frame rate, and packet-loss rate to measure the video quality. Liu, Tao Narvekar, Niranjan Wang, Beibei Ding, Ran Zou, Dekun Cash, Glenn Bhagavathy, Sitaram Bloom, Jeffrey

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