Deividas Kancelkis

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In this paper, a novel scheme for the accelerated analysis of quad-trees in the discrete wavelet spectrum of a digital image is proposed. During the pre-scanning step, the proposed scheme generates objective and specially structured binary codes for the whole set of quad-tree roots (wavelet coefficients) and thereby accumulates facts on the significance of(More)
Abstract. In this paper, a modified version of the discrete wavelet transform (DWT), distinguishing itself with visibly improved space localization properties and noticeably extended potential capabilities, is proposed. The key point of this proposal is the full decorrelation of wavelet coefficients across the lower scales. This proposal can be applied to(More)
In this paper, a new approach (scheme) to the analysis of quad-trees in the discrete wavelet spectrum of a digital image is proposed. The developed scheme can be applied to any iterative zero-tree based image coding procedure, i.e. to the EZW (embedded zero-tree wavelet) algorithm, to the SPIHT (set partitioning in hierarchical trees) algorithm, etc. The(More)
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