Image colorization is a new image processing topic to recolor gray images to look as like the original color images as possible. Different methods have appeared in the literature to solve this problem, the way that leads to thinking about decolorization, eliminating the colors of color images to just small color keys, aid in the colorization process. Due to this idea, decolorization is consider...

In this project, we show that an image can be reconstructed using local descriptors, with or without complete geometrical metadata. We use greedy algorithms to progressively learn the missing information before reconstruction and colorization is performed. Our experiments show that most of the vital information about a query image can be recovered even if scale metadata is missing. Compared to ...

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...

Colorization is a computer-assisted process of adding color to a monochrome image or movie. The process typically involves segmenting images into regions and tracking these regions across image sequences. Neither of these tasks can be performed reliably in practice; consequently, colorization requires considerable user intervention and remains a tedious, time-consuming, and expensive task. In t...

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...

Characterization of tissues like brain by using magnetic resonance (MR) images and colorization of the gray scale image has been reported in the literature, along with the advantages and drawbacks. Here, we present two independent methods; (i) a novel colorization method to underscore the variability in brain MR images, indicative of the underlying physical density of bio tissue, (ii) a segment...

We present a data-driven approach that colorizes 3D furniture models and indoor scenes by leveraging indoor images on the internet. Our approach is able to colorize the furniture automatically according to an example image. The core is to learn image-guided mesh segmentation to segment the model into different parts according to the imaged object. Given an indoor scene, the system supports colo...