Given a monochrome image and some manually labeled pixels, the colorization problem is a computer-assisted process of adding color to the monochrome image. This paper proposes a novel approach to the colorization problem by formulating it as a matrix completion problem. In particular, taking a monochrome image and parts of the color pixels (labels) as inputs, we develop a robust colorization mo...

This paper proposes a novel algorithm for colorization of meshes. This is important for applications in which the model needs to be colored by just a handful of colors or when no relevant image exists for texturing the model. For instance, archaeologists argue that the great Roman or Greek statues were full of color in the days of their creation, and traces of the original colors can be found. ...

in this study, removal of methylene blue by electro-coagulation method using aluminum and iron electrodes was investigated. the influence of the operating parameters such as contact time, current density, anode type, inter-electrodes distance, initial and final ph and energy consumption rate was determined. dye removal was increased with increases in solution ph, current density and contact tim...

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 ...