Description: Images acquired from Passive Millimeter-Wave (PMMW) radiometer have poor resolution due to limited aperture dimension. Therefore, Super-Resolution Algorithm (SRA) is a key component for PMMW imager. SRA realizes spectrum extrapolation, however, spectrum in-band is deteriorated too. Wiener-Richardson-Lucy Algorithm (WRLA) recovers spectrum in-band by Wiener filter, and extrapolates spectrum out-of-band by Richardson-Lucy Algorithm (RLA). WRLA can avoid spectrum deterioration in passband, but its ability for spectrum extrapolation is limited also. We propose an improved algorithm to solve this problem. This algorithm, which has built constraints according to characteristics of PMMW imaging, uses Projection-Onto-Convex-Sets (POCS) technique to enhance the WRLA s performance, so it is termed as POCS-WRLA.
File list (Check if you may need any files):
POCS-NL
.......\bsnr.m
.......\display_inverse.m
.......\draw_circle.m
.......\draw_gun.m
.......\draw_spectrum.m
.......\draw_spot.asv
.......\draw_spot.m
.......\draw_xcorr2.m
.......\experimental1.asv
.......\experimental1.m
.......\experimental2.m
.......\fake2.m
.......\image
.......\.....\Landweber算法MSE.fig
.......\.....\Landweber算法MSE.tif
.......\.....\Newton法MSE.fig
.......\.....\Newton法恢复图像.tif
.......\.....\Newton法恢复图像的频谱.tif
.......\.....\NL_MSE2_11.tif
.......\.....\pocs-NL恢复图像.tif
.......\.....\pocs-NL恢复图像的频谱.tif
.......\.....\pocs-NL算法中第一步的迭代MSE.fig
.......\.....\pocs-NL算法中第一步的迭代MSE.tif
.......\.....\pocs-NL算法中第二步的迭代MSE.fig
.......\.....\pocs-NL算法中第二步的迭代MSE.tif
.......\.....\人工图像.tif
.......\.....\人工图像人.tif
.......\.....\人工图像恢复_landweber.tif
.......\.....\人工图像恢复频谱_landweber.tif
.......\.....\人工图像降晰.tif
.......\.....\人工图像降晰频谱.tif
.......\.....\人工图像频谱.tif
.......\image1.m
.......\image2
.......\......\blurred_image.tif
.......\......\blurred_image_spectrum.tif
.......\......\fake_PNL.tif
.......\......\FFT运算量对比图.fig
.......\......\origin_image.tif
.......\......\origin_image_spectrum.tif
.......\......\recovered_image_landweter.tif
.......\......\recovered_image_landweter_spectrum.tif
.......\......\recovered_image_PNL.tif
.......\......\recovered_image_PNL2.tif
.......\......\recovered_image_PNL_spectrum.tif
.......\......\乘法运算量对比图.fig
.......\image2.m
.......\landweber13.m
.......\landweber14.m
.......\landweber19.m
.......\landweber23.m
.......\main_gun.m
.......\max2.m
.......\min2.m
.......\min2newton.m
.......\min2newton2.m
.......\mse1.m
.......\my_imnoise.m
.......\plot_computation.asv
.......\plot_computation.m
.......\prepare_image.m
.......\snr.m
.......\test1.m
.......\test2.m
.......\test_psf2otf.m
.......\程序编制说明.m
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