Performance evaluation of multiresolution methods in disparity estimation
Citations
17 citations
Cites background from "Performance evaluation of multireso..."
...These applications include speaker recognition [14], speech signal enhancement [22], image compression [2,3], watermarking [1,13], stereo vision [15], fault diagnosis [23], image fusion [16] and other miscellaneous applications [10,19]....
[...]
References
7,458 citations
"Performance evaluation of multireso..." refers methods in this paper
...The well-known Middlebury datasets Tsukuba [ 9 ] and Cones [10] are used for generating comparative results....
[...]
3,948 citations
"Performance evaluation of multireso..." refers methods in this paper
...A key feature in multidimensional signal being the directional features, Contourlet Transform (CONT) decomposes an image into several directional subband by combining the Laplacian pyramid with a directional filter at each scale [ 5 ]....
[...]
2,603 citations
"Performance evaluation of multireso..." refers background or methods in this paper
...For the implementation, Curvelets via Wrapping [ 2 ] has been used with the codes provided by the Curvelab....
[...]
...Curvelets are new multiscale representations that are better suited to objects with smooth curvatures [ 2 ]....
[...]
1,840 citations
"Performance evaluation of multireso..." refers methods in this paper
...The well-known Middlebury datasets Tsukuba [9] and Cones [ 10 ] are used for generating comparative results....
[...]
354 citations
"Performance evaluation of multireso..." refers background in this paper
...Wavelets are time limited functions that are localized in frequency [ 7 ]....
[...]
...A lot of research have been reported on wavelet based stereo estimation [3, 7 ,11]....
[...]