Paper Info
Title
From 2D Extrapolation to 1D Interpolation: Content Adaptive Image Bit-Depth Expansion
Abstract
In this paper, we address the problem of image bit-depth expansion and present a novel method to generate high bit-depth (HBD) images from a single low bit-depth (LBD) image. We expand image bit-depth by reconstructing the least significant bits (LSBs) for the LBD image after it is rescaled to high bit-depth. For image regions whose intensities are neither locally maximum nor minimum, neighborhood flooding is applied to convert 2D interpolation problem into 1D interpolation, for local maxima/minima (LMM) regions where interpolation is not applicable, a virtual skeleton marking algorithm is proposed to convert problematic 2D extrapolation problem into 1D interpolation. At last, a content-adaptive reconstruction model is proposed to obtain the output HBD image. The experimental results show that proposed method significantly outperforms existing methods in PSNR and SSIM without contouring artifacts.
Year
DOI
Venue
2012
10.1109/ICME.2012.118
ICME
Keywords
Field
DocType
interpolation problem,image region,image bit-depth,lbd image,output hbd image,high bit-depth,extrapolation problem,image bit-depth expansion,single low bit-depth,content adaptive image bit-depth,interpolation,psnr,skeleton,indexes,extrapolation,strontium,image reconstruction
Computer vision,Nearest-neighbor interpolation,Multivariate interpolation,Pattern recognition,Computer science,Interpolation,Stairstep interpolation,Demosaicing,Extrapolation,Artificial intelligence,Image scaling,Bilinear interpolation
Conference
Citations 
PageRank 
References 
7
0.56
7
Authors
5
Name
Order
Citations
PageRank
Pengfei Wan1459.40
Oscar C. Au21592176.54
Ketan Tang310612.98
Yuanfang Guo49518.21
Lu Fang534355.27