textile industry is the major source of water consumption and wastewater pollution.there are various treatment techniques to remove textile wastewater pollution. coagulationflocculation is a widely used process to remove pollution due to suspended particles. in this research, different coagulants like alum, lime, fecl3, feso4 and mgcl2 were applied to select the suitable ones with optimum remov...

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...

This paper targets two related color manipulation problems: Color transfer for modifying an image colors and colorization for adding colors to a greyscale image. Automatic methods for these two applications propose to modify the input image using a reference that contains the desired colors. Previous approaches usually do not target both applications and su er from two main limitations: possibl...

In colorization-based coding the encoder picks a couple of representative pixels (RP) for which the chrominance values and the positions are sent to the decoder, although in the decoder, the chrominance values for all the pixels are recreated by colorization techniques. The fundamental issue in colorization-based coding is the manner by which to obtain the RP well in this manner the compression...

This paper describes the use of a customized algorithm for the colorization of historical black and white photographs documenting earlier states of paintings. This study specifically focuses on Pablo Picasso’s mid-century Mediterranean masterpiece La Joie de Vivre, 1946 (Musée Picasso, Antibes, France). The custom-designed algorithm allows computer-controlled spreading of color information on a...

We develop a fully automatic image colorization system. Our approach leverages recent advances in deep networks, exploiting both low-level and semantic representations. As many scene elements naturally appear according to multimodal color distributions, we train our model to predict per-pixel color histograms. This intermediate output can be used to automatically generate a color image, or furt...

The paper presents an innovative technique for colorization of grayscale images. Here the colors from some source color image are picked up and sprayed into the to be colored grayscale image. The color palette used in colorization technique discussed here is generated using the Linde Buzo and Gray (LBG) codebook. The technique is tested using various VQ codebook sizes like 32, 64, 128, 256 and ...

In this paper, the colorization-based coding problem has been solved using smooth L0 (SL0) and L1 norm (OMP) minimization sparse recovery algorithms. In colorization-based coding method at the encoder, only few representative pixels (RP) for the chrominance values are sent along with luminance part of image to the decoder where the chrominance values for all the pixels are reconstructed by colo...

Recent research suggests that colorization models have the capability of generating plausible color versions from grayscale images. In this paper, we investigate whether colorization prior to gender classification improves classification performance on the FERET grayscale face dataset. For this, we colorize the images using an existing Lab colorization model, both with and without class rebalan...

Recent research suggests that colorization models have the capability of generating plausible color versions from grayscale images. In this paper, we investigate whether colorization prior to gender classification improves classification performance on the FERET grayscale face dataset. For this, we colorize the images using an existing Lab colorization model, both with and without class rebalan...