A new in-loop filter, sample adaptive offset (SAO) allows the latest video compression standard, HEVC or H.265, to achieve higher coding efficiency both in objective and subjective measures. However, it requires additional operations to estimate the best SAO parameters per coding tree unit (CTU) during the video encoding process, which often leads to many practical issues such as high computational complexity or architectural inefficiency that might not be affordable for low power or real-time video encoders. In this paper, we explore various SAO encoding policies including complexity reduction in the SAO parameter estimation and efforts to remove inefficiency caused by its implementation in a pipelined manner through numerous experimental tests.
Index Terms-H.265, high efficiency video coding (HEVC), in-loop filter, sample adaptive offset (SAO), video compression.1070-9908
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.