Your English writing platform
Free sign upSuggestions(5)
Exact(6)
A depth-image-based rendering (DIBR) method with spatial and temporal texture synthesis is presented in this article.
In this article, a new virtual view generation method with spatial and temporal texture synthesis is proposed.
A backward-in-time probabilistic method with spatial filter averaging is presented to solve linear second-order partial differential equations of the parabolic type.
The framework of proposed DIBR method with spatial and temporal texture synthesis is shown in Figure 2. The proposed method is divided into four main stages, i.e., stationary scene extraction, backward DIBR, merging operation, and oriented exemplar-based inpainting.
The predictions are compared with experimental data and with results obtained using alternative prediction methods such as the transfer matrix method with spatial windowing, the hybrid wave based-transfer matrix method, and the hybrid finite element-statistical energy analysis method.
The information was extracted from the features close to the background or saturated and normalization was performed by the rank invariant and lowest fitness method with spatial normalization.
Similar(54)
We finally present the comparison of our proposed method with some other well-known methods with Spatial domain [2], Discrete Cosine Transform (DCT) [16], and Discrete Wavelet Transform (DWT) [17, 18] based embedding algorithms.
Therefore one needs methods with spatial resolution better than 1Ǻ, and this is very difficult to achieve.
An approach based on the classical Crank Nicholson method combined with spatial extrapolation is used to obtain temporally and spatially second-order accurate numerical estimates.
This article presents a novel DIBR method combined with spatial and temporal texture synthesis.
The methodology integrates the multiple-criteria method with the spatial correlation technique.
More suggestions(15)
approaches with spatial
method with spatially
methods with spatial
modes with spatial
method with sparse
method with several
method with adaptive
method with considerable
method with fluorochrome-labelled
method with incredible
method with musical
method with bootstrap
method with instant
method with arithmetic
method with constant
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com