Title :
Sensor optimal image interpolation
Author :
Price, Jeffery R. ; Hayes, M.H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA
Abstract :
Previously, we derived sensor optimal prefilters for image interpolation. The prefilters were applied prior to integer interpolation with a standard (e.g., linear or cubic) kernel. Here we expand upon that notion and construct complete, sensor optimal interpolation kernels for rational interpolation factors. After restating the interpolation problem in a reconstruction-like fashion, we employ a simple model of the image capture system to derive the MMSE interpolator. Results indicate significant subjective improvements over cubic interpolation, for little extra computation.
Keywords :
filtering theory; image reconstruction; interpolation; least mean squares methods; optimisation; MMSE interpolator; cubic interpolation; cubic kernel; image capture system; image reconstruction; integer interpolation; linear kernel; rational interpolation factors; sensor optimal image interpolation; sensor optimal prefilters; standard kernel; Application software; Finite impulse response filter; Image reconstruction; Image resolution; Image sensors; Interpolation; Iris; Kernel; Layout; Nonlinear filters;
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5700-0
DOI :
10.1109/ACSSC.1999.831909
