A Survey of Algorithms and Architectures for H.264 Sub-Pixel Motion Estimation

Abstract

<jats:p>This paper reviews recent state-of-the-art H.264 sub-pixel motion estimation (SME) algorithms and architectures. First, H.264 SME is analyzed and the impact of its functionalities on coding performance is investigated. Then, design space of SME algorithms is explored representing design problems, approaches, and recent advanced algorithms. Besides, design challenges and strategies of SME hardware architectures are discussed and promising architectures are surveyed. Further perspectives and future prospects are also presented to highlight emerging trends and outlook of SME designs.</jats:p>

Iterative based image and video denoising by fractional block matching and transform domain filtering

“…The current block and its associated motion vectors of similar blocks are categorized and hold to use in the next steps. It is worth to mention that there are many integer and sub-pixel block-matching algorithms in the literature [19], [20]. Among them all, the full search algorithm results in the best visual performance.…”

Iterative based image and video denoising by fractional block matching and transform domain filtering

“…The current block and its associated motion vectors of similar blocks are categorized and hold to use in the next steps. It is worth to mention that there are many integer and sub-pixel block-matching algorithms in the literature [19], [20]. Among them all, the full search algorithm results in the best visual performance.…”