Block Matching in Noise Suppression Filter for Video Coding

A Modified Steering Kernel Filter for AWGN Removal based on Kernel Similarity

“…Digital images are acquired through sampling and quantization of images inputted through cameras and displayed after numerically expressing the brightness and color intensity in a two-dimensional (2D) space [12].…”

“…A matching window of the same size as the center window was set around the pixel coordinates i + x, j + y located inside the search window, which was used to compare the similarity of the two regions. Matching window , can be obtained using the following equation: (12) Here, F represents the size of the matching window, which is the same size as the center window used in equation ( 9). The proposed algorithm compares the similarities of the two masks to identify the relationship between the filtering and matching masks.…”

Application Map in the Noise Suppression Filter for Video Compression

“…The third step of the algorithm performs block matching procedure to collect a stack of blocks similar to the current within a search range also considering the application map limitations by removing picture areas from the search region, where NSF is not applicable. Specific block matching method, which is used at this step is described in detail in [14].…”

“…The NSF filter also has the explicit filter control signaling, which is however implemented slightly differently than in SAO and ALF. Main NSF design principles are described in [13] and several specific aspects regarding the filtering process are described in [14]. This paper is mostly focused on the NSF application control mechanism, which is called the application map that allow significantly improve the filter performance comparing to a general NSF method without having any application control.…”