A novel method for enhancing the visual clarity of monochrome images is proposed. This approach follows a two-step process: pseudo-colorization followed by decolorization. Despite its counterintuitive nature, the technique improves the discernibility of image features, regardless of their size, shape, or initial visual prominence. Its effectiveness depends on the precise selection of color maps and the implementation of a recently developed decolorization scheme. The method’s superiority is demonstrated through objective metrics and supplemented by subjective evaluations. The method is well-suited for various visual data analysis tasks, especially in enhancing the visual quality of grayscale input data for AI-based solutions.