Acne is a chronic disorder that affects about 85% of adults at some point during their lives. There are the different type of acne lesions including blackheads and whiteheads (collectively termed comedones), larger pimples (papules). The importance of acne is undeniable because the disease can have important negative psychosocial consequences for the affected individual. Some of these consequences are diminished self-esteem, depression, social withdrawal due to embarrassment, and unemployment. Therefore, the suggestion of adequate therapy is vital. Methods which are used by dermatologists are manual methods such as direct visual assessment and ordinary flash photography to evaluate the acne. Time-consuming and tedious are disadvantages of these manual methods. To address these issues, this study focus on developing a computational imaging method for automated acne grading using images which are taken by cell phone. In this study, acne lesions will be classified based on severity to estimated healing time.