A mobile phone with an internet connection is used for many applications. Many investigations are based on color detection. In biomedical applications, for example, the color of nails can help to detect diseases but due to lighting conditions, a camera image can show a healthy nail looking unhealthy and vice versa. Also white balancing is required for many digital pathology tests. It is important to improve the camera functionality, especially on illuminant and white balance to remove unrealistic color casts. Also, digital cameras linearly perceive light whereas the human visual system is in a logarithmic fashion. The Hue Saturation Intensity (HSI) model, a useful tool for creating algorithms based on color descriptions and the logarithmic structure of light perception, is correlated in this study. Saturation of original and processed images is calculated and the difference in values at different temperatures shows that log- transformed image has less effect of change in illuminants. Existing modes are unable to satisfy the individual needs of the users. This work proposes a method on an individual image basis.

Hue Saturation Intensity (HSI) Model ;Human Visual System; Log transformed image; Biomedical application; White balance.