A New Method for Complete-to-overcomplete Discrete Wavelet Transforms
نویسندگان
چکیده
Overcomplete discrete wavelet transforms (ODWT) are used in a number of applications because they provide shift invariance, a property extremely useful in wavelet-based image processing and video coding. In this paper, we propose a new construction of the ODWT starting from the subbands of the critically-sampled (complete) DWT. The most straightforward application of our theory is scalable video coding with in-band prediction, for which it has been shown that the proposed method achieves lower complexity.
منابع مشابه
Fixing of Cycle Slips in Dual-Frequency GPS Phase Observables using Discrete Wavelet Transforms
The occurrence of cycle slips is a major limiting factor for achievement of sub-decimeter accuracy in positioning with GPS (Global Positioning System). In the past, several authors introduced a method based on different combinations of GPS data together with Kalman filter to solve the problem of the cycle slips. In this paper the same philosophy is used but with discrete wavelet transforms. For...
متن کاملSingle-rate calculation of overcomplete discrete wavelet transforms for scalable coding applications
A number of emerging resolution-scalable image and video coding algorithms have recently shown very promising performance due to the use of overcomplete wavelet representations. In these applications, the overcomplete discrete wavelet transform (ODWT) is derived starting from the critically-sampled subbands of the DWT (complete representation) of a certain decomposition (resolution) level. This...
متن کاملComplete-to-overcomplete discrete wavelet transforms for scalable video coding with MCTF
Techniques for full scalability with motion-compensated temporal filtering (MCTF) in the wavelet-domain (in-band) are presented in this paper. The application of MCTF in the wavelet domain is performed after the production of the overcomplete discrete wavelet transform from the critically-sampled decomposition, a process that occurs at both the encoder and decoder side. This process, which is a...
متن کاملA Study of the Effect of Source Sparsity for Various Transforms on Blind Audio Source Separation Performance
In this paper, the problem of blind separation of underdetermined noisy mixtures of audio sources is considered. The sources are assumed to be sparsely represented in a transform domain. The sparsity of their analysis coefficients is modelled by the Student t distribution. This prior allows for robust Bayesian estimation of the sources, the mixing matrix, the additive noise variance as well as ...
متن کاملOptimization of Energy Consumption in Image Transmission in Wireless Sensor Networks (WSNs) using a Hybrid Method
In wireless sensor networks (WSNs), sensor nodes have limited resources with regard to computation, storage, communication bandwidth, and the most important of all, energy supply. In addition, in many applications of sensor networks, we need to send images to a sink node. Therefore, we have to use methods for sending images in which the number and volume of packets are optim...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002