9 papers:
- DHM-2014-TakaiYGWI #case study #comparative
- Comparative Study on the Feature of Kitchen Knife Sharpening Skill between Expert and Non-Expert (YT, MY, AG, ZW, AI), pp. 292–300.
- ICPR-2012-LiuLWZ #learning #linear
- Locally linear embedding based example learning for pan-sharpening (QL, LL, YW, ZZ), pp. 1928–1931.
- ICPR-2012-LiuWZL #using
- Pan-sharpening using weighted red-black wavelet (QL, YW, ZZ, LL), pp. 1908–1911.
- ICPR-2012-NamA #image #learning
- Learning human preferences to sharpen images (MN, NA), pp. 2173–2176.
- ICPR-2010-Alsam #constant #image
- Colour Constant Image Sharpening (AA), pp. 4545–4548.
- ICPR-2010-GrazziniS #image
- Iterative Ramp Sharpening for Structure/Signature-Preserving Simplification of Images (JG, PS), pp. 4585–4588.
- ICPR-2010-KobayashiT #adaptation #automation #image
- Content-Adaptive Automatic Image Sharpening (TK, JT), pp. 2214–2217.
- ICPR-2010-LiuWWY #adaptation #linear #using
- Pan-Sharpening Using an Adaptive Linear Model (LL, YW, YW, HY), pp. 4512–4515.
- ICPR-v4-2004-NumadaNKKT #image #polynomial #using
- Sharpening of CT Images by Cubic Interpolation using B-Spline (MN, TN, KK, HK, HT), pp. 701–704.