Subpixel‐based image downsampling algorithm using content‐adaptive two‐dimensional FIR filters
Yeon‐Oh Nam, Byung Cheol Song · IET Image Processing · 2013
This study proposes a subpixel‐based image downsampling algorithm using content‐adaptive two‐dimensional (2D) finite impulse response (FIR) filters. The proposed algorithm consists of a learning stage and an inference stage. In the learning stage, using a sufficient number of low‐resolution (LR) and high‐resolution (HR) patch pairs, the authors compute optimal 2D FIR filters to synthesise LR patches of the highest quality from a specific HR patch and store the patch‐adaptive 2D FIR filters in a dictionary. In the inference stage, they explore candidates that best match to each HR input patch in the dictionary and synthesise LR patches by using their corresponding 2D FIR filters on a subpixel basis. The experimental results show that the proposed algorithm produces higher‐quality LR images on a patch basis than existing methods and entails no blur and aliasing artefacts.