The paper presents a system that colorizes monochrome images driven by deep neural networks without any additional supportive aid. Throughout the paper, we explore feature engineering, transfer learning, color spaces and color channels, and various architectural neural frameworks. Eventually, stained and tinted colorized images or image sequences (video) have been derived from monochrome images that are more aesthetically pleasing, information rich, and more vivid with higher traceability. The experimental results illustrae the viability of our methodology and divulge a favorable route for future work.
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