Sentence examples for multiple denoising schemes from inspiring English sources

The second stage fuses multiple denoising schemes.

A potential solution to correct these behaviors is to fuse multiple denoising schemes.

Using different diversification mechanisms, denoising schemes are obtained.

Fig. 1 Image denoising approaches: a filtering based on neighboring pixels located within a kernel in pixel-based denoising schemes and b filtering based on patches located within a search window in patch-based denoising schemes.

It operates on the set of results of all the denoising schemes to be fused.

We average some pixels having the same coordinates in different results of different denoising schemes.

So in our case the delocalization is realized by the diversification of the denoising schemes.

Using different denoising schemes, we can consider the results as different estimates of the image.

In this work, the patch-based image denoising schemes are analyzed from two different aspects: (1) the performance of patch-based denoising techniques in terms of image denoising quality and (2) the performance of patch-based denoising techniques in terms of computational time, where various patch-based denoising techniques are addressed.

The obtained results show that the proposed denoising schemes perform better than the MMSE filter and wavelet approach.

The wavelet transform, the contourlet transform, and the adaptive 2-D Wiener filtering are used in [14] as blocks of denoising schemes.