as dyes are the most important pollutants of many industrial wastewaters. a large amount of reactive black 5 enters the environment in iran because of the use of this dye in iran's textile industries, so the goal of this study was to survey the catalytic ozonation process with bone char in removal of reactive black 5 dye from synthetic wastewater. in this experimental study bone char (bc) was p...

In this paper, we firstly extend a simple algorithm proposed by Jia et al. [16] to color/vectorial images, and then apply it to some variational models for image restoration including color image denoising with the RGB and chromaticity-brightness(CB) color representation, chromaticity-brightness(CB) based colorization and inpainting etc. The variational models are all total variation(TV)-based ...

Colorization aims at recovering the original color of a monochrome image from only a few color pixels. A stateof-the-art approach is based on matrix completion, which assumes that the target color image is low-rank. However, this low-rank assumption is often invalid on natural images. In this paper, we propose a patch-based approach that divides the image into patches and then imposes a low-ran...

Remote sensing data have become increasingly vital in target detection, disaster monitoring, and military surveillance. Abundant pan-sharpening super-resolution (SR) methods based on deep learning been proposed achieved remarkable performance. However, requires paired panchromatic (PAN) multispectral (MS) images, SR cannot increase the spectral resolution of PAN. Thus, we introduce a computatio...

We aim to color greyscale images automatically, without any manual intervention. The color proposition could then be interactively corrected by user-provided color landmarks if necessary. Automatic colorization is nontrivial since there is usually no one-to-one correspondence between color and local texture. The contribution of our framework is that we deal directly with multimodality and estim...

Natural images in the colour space Y UV have been observed to have a non-Gaussian, heavy tailed distribution (called ’sparse’) when the filter

Colorization of gray-scale images relies on prior color information. Exemplar-based methods use a color image as source of such information. Then the colors of the source image are transferred to the gray-scale target image. In the literature, this transfer is mainly guided by texture descriptors. Face images usually contain few texture so that the common approaches frequently fail. In this pap...

In this paper, a novel weighted nonlocal total variation (WNTV) method is proposed. Compared to the classical nonlocal total variation methods, our method modifies the energy functional to introduce a weight to balance between the labeled sets and unlabeled sets. With extensive numerical examples in semi-supervised clustering, image inpaiting and image colorization, we demonstrate that WNTV pro...