Introduction

Blurring, as the most general artifact in digital photo, caused by out of focus, motion or other reasons is the major problem that I want to identify and solve. For example, when you take photos in a soccer game, the player are very likely smeared in your photos because of high motion speed.

From the point of view of image processing, blurring is mixture or blending between the values of a pixel and its neighbors in spatial domain. And in frequency domain, it is equivalent to a low pass filter which attenuates high frequencies.

A comparision of sharp image and blurry image

Deblurring is a very challenging and useful research topic and successful solution of this problem will benefit a large amount of digital camera consumers and certainly the manufacturers of digital cameras. It is an important part of our whole project aiming to detect and correct all sorts of artifacts in digital photography and create a “perfect” camera which allows user to take “perfect” photos at any time and any place.

Current Works

Handholding a digital video camera or filming a video from a moving vehicle most often produces shaky videos. Nowadays, digital video cameras are often equipped with a built-in image stabilizing system, which can greatly reduce or virtually eliminate the vibration caused by camera shake. Because a user may intentionally move the camera, a good image stabilizing system must be able to distinguish intended motion from undesired motion. The goal of this study is to design a zero-phase adaptive filter in order to accurately separate voluntary and involuntary camera movements.