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The increasing demand for high resolution videos, together with limited transmission and memory capacity is still driving the research on high performance video compression codecs. As a core technique in state-of-the-art video codecs such as High Efficiency Video Coding (HEVC) a hybrid approach with block based architecture is used. The term ”hybrid“ refers to a combination of prediction from previous frames or adjacent blocks from the frame itself together with a transform coding of the resulting residual. Therefore, the quality of the prediction signal has a large influence on the efficiency of video codecs. ”Signal Adaptive Methods To Optimize Prediction Signals in Video Coding” introduces novel iterative filter methods for prediction signals based on state-of-the-art image processing methods. It is shown that these filters significantly improve the rate-distortion performance of state-of-the-art hybrid video codecs while not imposing too much additional complexity.
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Signal Adaptive Methods To Optimize Prediction Signals in Video Coding, Jennifer Rasch
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- 2019
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