Title :
Acuity-matching resolution degradation through wavelet coefficient scaling
Author :
Duchowski, Andrew T.
Author_Institution :
Dept. of Comput. Sci., Clemson Univ., SC, USA
fDate :
8/1/2000 12:00:00 AM
Abstract :
A wavelet-based multiresolution image representation method is developed matching human visual system (HVS) spatial acuity within multiple regions of interest (ROIs). ROIs are maintained at high (original) resolution while peripheral areas are gracefully degraded. Variable resolution images are generated by selectively scaling wavelet (detail) coefficients prior to reconstruction. The technique is equivalent to linear interpolation MIP-mapping which involves smooth subsampling (decomposition) prior to texture mapping (reconstruction). Multiple ROI degradation is achieved through wavelet coefficient scaling following Voronoi partitioning of the image plane
Keywords :
Haar transforms; computational geometry; discrete wavelet transforms; image matching; image reconstruction; image representation; image resolution; image sampling; image texture; interpolation; wavelet transforms; Voronoi partitioning; acuity-matching resolution degradation; human visual system spatial acuity; image plane partitioning; linear interpolation MIP-mapping; multiple regions of interest; multiresolution image representation; peripheral areas; reconstruction; smooth subsampling; texture mapping; variable resolution images; wavelet coefficient scaling; Degradation; Humans; Image generation; Image reconstruction; Image representation; Image resolution; Interpolation; Spatial resolution; Visual system; Wavelet coefficients;
Journal_Title :
Image Processing, IEEE Transactions on
