Image Processing Based Texture Transfer Between Images

Texture transfer is a crucial approach in image processing which enables smooth transfer of textures between images while preserving visual qualities like color fidelity and texture details. This feature is essential for digital art, computer graphics, virtual reality, and textile visualization since it improves visual realism and creative expression. Existing methods frequently use complicated machine learning and AI models, which can be computationally expensive and difficult to apply. To ensure efficient and precise texture transfer, we use fundamental image processing techniques such as color space transformations and luminance matching. Our solution achieves smooth texture integration by matching the brightness of a style card image to a target color card image and incorporating chrominance information. This paper describes our image processing based methodology, from pre-processing to final image synthesis, which provides a computationally efficient and user-friendly alternative to machine learning techniques. The experimental results suggest that the proposed approach is effective and has the potential for a wide range of applications.