Digital photos tend to suffer from image quality problems, these photo quality problems result from under exposure, over exposure, poor lighting conditions, bad focus...etc. Digital camera design can not solve all quality problems, since photo quality is mainly a subjective issue: people in different countries has different preferences for photo colors.

Most existing image analysis and correction methods are based on traditional signal processing techniques which are based on mathematical models, and do not take into account psychological elements in human visual perception. Other image enhancement tools are usually manually operated, the user chooses the tools and parameters, and enhances the photos through a long exhausting trial and error process.

Photo-D is a unique rule-based expert-system, which analyses each image using advanced intelligent digital imaging algorithms, and automatically performs image correction, using fuzzy logic methods and artificial intelligence techniques. Photo-D decides automatically which tool to use and the value of the needed parameters.

Benefiting from years of Digital Imaging and Color Science technological expertise, Photo-D emulates the decision-making ability of a graphic-art expert in order to analyze and enhance digital photos quality automatically. The enhanced photos take into account the human visual perception and psychological elements.

Photo-D includes smart intelligent algorithms for:

See more examples in the Photo Gallery