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When contourlet coefficients are directly coded, the benefits from directional representation are discounted by the redundancy of the transform. In this paper, we propose a contourlet-based image coding scheme under the sparse representation framework, in which contourlet coefficients are sparsified by the iterative thresholding method before compression. Dependency analysis is performed to reveal...
We investigate image and video denoising using adaptive dual-tree discrete wavelet packets (ADDWP), which is extended from the dual-tree discrete wavelet transform (DDWT). With ADDWP, DDWT subbands are further decomposed into wavelet packets with anisotropic decomposition, so that the resulting wavelets have elongated support regions and more orientations than DDWT wavelets. To determine the decomposition...
In this paper, we propose a novel face recognition method based on anisotropic dual-tree complex wavelet packets(ADT-CWP). 2-D dual-tree complex wavelet transform(DT-CWT) provides a geometrically oriented decomposition for image representation as well as shift invariance. By applying anisotropic wavelet packet decomposition on DT-CWT further, ADT-CWP can be used to extract facial features better,...
In this paper, we extend the 2D dual-tree complex wavelet transform (DTCWT) to an adaptive anisotropic dual- tree complex wavelet packets (ADTCWP). The DTCWT subbands are iteratively decomposed into anisotropic complex wavelet packets, generating anisotropic wavelets and increasing the number of wavelets orientations without introducing extra redundancy. Then a basis selection procedure is applied...
This paper presents an affine-in variant image retrieval approach based on wavelet-based detector, which uses the space-tree property of the transform coefficients to estimate the interest points. Meanwhile, in order to retrieve images compressed by wavelet algorithm such as JPEG2000, the detector only uses the partial bit-planes of the wavelet coefficients to detect the interest points. To provide...
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