A New Approach to Enhance Images of Mobile Phones with In-built Digital Cameras Using Mean and Variance

Image Enhancement for Built-in camera of a Mobile phone is considered as a highly desirable feature because of their ease of usage and convenience. We present in this paper a novel approach to Enhance Built-in camera image of a Mobile phone which is suffering from poor illumination and Blur [1]. This is because of Low Resolution and slight movement of the Mobile phone while capturing the Scene. Camera resolution will continue to improve in Mobile phones, with the need to carry a separate Mobile phone and digital camera possibly disappearing within the next couple of years. But Image-sensor processor algorithms are also very important on camera phones as they can compensate for bad optics. In the Literature there may be number of Effective Image Enhancement algorithms exists, they are unsuitable to deploy in such low memory mobile phones and unable to operate in a limited space of the Mobile phone processor. We present an iterative image de blurring algorithm having a low computational complexity than traditional approaches using two images. One is darker image and another one an unclear or blurred image. De blurring operation is carried out by adjusting Mean and Variance values of the darker image. Mean and variance of the unclear image are useful in constructing the better Image. Of course image de blurring doesn’t work on one pixel at a time, but rather on all RGB values simultaneously in a step by step manner.