Efficient image color enhancement using a new tint intensification algorithm

Digital photos are deemed an important source of information. The global request for lucid images has upsurged in the last decade. Accordingly, increasing the quality of images can be made through different features. Among such, color is a crucial feature as it gives an image a pleasing look and holds key significant information. As known, digital images are obtained with degradations, and deficient colors are an effect that can be observed in different types of images obtained by various modern imaging systems. Improving the colors while preserving the other important image features and details is needed for various real-world uses. Hence, an expeditious tint intensification (TI) algorithm that can boost the colors is introduced in this research, in that it begins by converting the image to the HSV domain and preserving the hue channel while processing the other two channels of saturation and value using different concepts. The image is then converted to the RGB domain and processed again using several methods to produce the desired output. Different experiments on real-world images have been made, comparisons with various algorithms are also attained and the results have been assessed using three dedicated image evaluation metrics. Promising results have been obtained, in that the TI algorithm is proven to deliver visually pleasing results, in that the colors appear vivid, the contrast is adequate, and the brightness is preserved with no visible filtering flaws. This is imperative because a few computations have been used to produce high-quality results in a fast and efficient way. The outcomes of this study are significant as they can be utilized in different important research areas.