title: Image coding using depth blurring for aesthetically acceptable distortion.
abstract: We introduce the concept of depth-based blurring to achieve an aesthetically acceptable distortion when reducing the bitrate in image coding. The proposed depth-based blurring is a prefiltering that reduces high-frequency components by mimicking the limited depth of field effect that occurs in cameras. To cope with the challenge of avoiding intensity leakage at the boundaries of objects when blurring at different depth levels, we introduce a selective blurring algorithm that simulates occlusion effects as occur in natural blurring. The proposed algorithm can handle any number of blurring and occlusion levels. Subjective experiments show that the proposed algorithm outperforms foveation filtering, which is the dominant approach for bitrate reduction by space-variant prefiltering.
authors.affiliation: School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK. timothy.popkin@eecs.qmul.ac.uk
authors.forename: Timothy
authors.initials: T
authors.lastname: Popkin
authors.forename: Andrea
authors.initials: A
authors.lastname: Cavallaro
authors.forename: David
authors.initials: D
authors.lastname: Hands
mesh_terms: D000465:Algorithms; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D014796:Visual Perception