Conceptual Framework for Integrating Artificial Intelligence Methods in Photographic Image Processing

The rapid development of artificial intelligence (AI) has led to significant transformations in the field of image processing and digital photography. AI-based systems enable automated image enhancement, classification, restoration, and content analysis, greatly improving both technical efficiency and creative possibilities. This paper presents a conceptual model for the integration of artificial intelligence methods in photographic image processing. The study examines key preprocessing techniques, major application areas, commonly used AI tools, and the ethical challenges associated with AI-driven image manipulation. By analyzing current research and technological trends, the paper demonstrates that AI significantly enhances image quality and processing speed while simultaneously raising important concerns related to data privacy, transparency, and authenticity. The proposed conceptual model aims to provide a structured framework for understanding how artificial intelligence can be effectively and responsibly applied in photography.