An efficient red eye reduction technique

Abstract

Automatic Red Eye Reduction (RER) technique is one of the essential components for imaging device with flash. We present an efficient RER technique that performs red eye detection followed by a verification procedure and an artifact free red eye correction method. The integral projection based method of red eye detection is fast and efficient in handling wide range of variations in pose, scale, and image quality. To reduce the false positives a novel verification method is used. Finally a simple color correction technique followed by a gaussian smoothing is shown to provide a natural looking red eye correction. To reduce the computational complexity, red eye detection is performed on low resolution image and map them efficiently to high resolution image. The proposed method has been compared with state-of-the-art commercial solution and it is found have better RER accuracy. The overall solution is computational cost effective which makes it feasible for use in low power imaging devices.