Abstract
This paper considers an application map method usage together with the Nose Suppression Filter (NSF) in-loop filter for video compression. The application map method is described in details and simulations results of basic NSF are provided as well as simulation results of NSF powered with the application map method. It is demonstrated that the application map method allows to significantly improve objective performance results of basic NSF and additionally decrease decoder average complexity. As a result, an average bd-rate saving of NSF with the application map reaches 2.6% for luma component in Low Delay P coding configuration in comparing to Versatile Video Coding reference implementation (VTM) version 1.0.
Highlights
At this moment digital video industry is keep extensively growing
Application Map in the Noise Suppression Filter for Video Compression 3 comprises of a filter core part, which is shared by encoder and decoder, and the application map method, which checks whether NSF filtering is beneficial on a frame or block level at the encoder and transmit this information to the decoder
The Noise Suppression filter is a powerful in-loop that can be used in lossy video systems in order to improve reconstructed video quality without any additional filter parameters signaling
Summary
At this moment digital video industry is keep extensively growing. Modern consumer devices already support Ultra High Definition (UHD) resolution and High Dynamic Range (HDR) video content. Most of inloop filters, which are currently used for video compression, somehow rely on the video signal information and sometimes on additional codec parameters in order to adjust filter strength and avoid over filtering or under filtering of the signal Such mechanisms can make wrong assessments, which, in turn, may lead coding performance drop. Bilateral Filter [8], which was studied during VVC standardization process, and Hadamard Transform Domain Filter (HTDF) [9] from current EVC standard draft do not have an explicit mechanism of the filters enabling In these two cases, codec has some predefined rules of the filter applicability such as minimal block size etc., and always applies the filter for all blocks satisfying the rules.
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