Adaptive Bilateral Filtering for Super-Resolution Reconstruction of Video Sequences

The current multimedia consumer market is characterized by the advent of cheap but rather high-quality high definition displays, mostly for home theater applications. This trend is only partially supported by the deployment of high-resolution multimedia services, either over the Internet or through satellite channels. To address the resulting disparity between content and display formats, video super-resolution techniques represent a major solution. This subject is addressed in this paper, by exploiting the use of the bilateral filtering. This is a spatial filtering operator that relies on dynamically calculating a FIR kernel which has the major advantages of video content adaptability and edge preserving. Results are encouraging and suggest that the proposed method could be practically implemented.