In this paper the reconstruction of damaged piecewice constant color images is studied using a RGB total variation based model for colorization/inpainting. In particular, it is shown that when color is known in a uniformly distributed region, then reconstruction is possible with maximal fidelity.

Given a grayscale image of a natural scene, this paper presents an approach to the estimation of a recolorization of that image. While the approach presented here is fully automatic, it has an easy insertion point for human interaction to finetune results and train improved colorizers. The system as presented is a feed-forward operation in a CNN augmented with residual connections, explicitly e...

Techniques of using convolutional neural networks (CNNs) to colorize monochrome still images have been widely researched. However, the results automatic colorization are often different from user's intentions and historical fact. A lot color correction work needs be done in order produce a colorized video. This is major problem situations such as broadcasting production where footage must appro...

This paper proposes an iterative score-based generative model for solving the automatic colorization problem. Although unsupervised learning methods have shown capability to generate plausible color, inadequate exploration of detailed information and data dimensions still limit performance model. Considering that number samples in has influence on estimating target gradients gradient map posses...

Potassium ferrate (K2FeO4) is a multi-functional green reagent for water treatment with considerable combined effectiveness in oxidization, disinfection, coagulation, sterilization, adsorption, and deodorization, producing environment friendly Fe(III) end-products during the reactions. This study uses a simple method to lower Fe(VI) preparation cost by recycling iron from a spent steel pickling...

Recently, several RGB-White (RGBW) color filter arrays (CFAs) have been proposed, which have extra white (W) pixels in the filter array that are highly sensitive. Due to the high sensitivity, the W pixels have better SNR (Signal to Noise Ratio) characteristics than other color pixels in the filter array, especially, in low light conditions. However, most of the RGBW CFAs are designed so that th...