Image enhancement based on estimation of high resolution component using wavelet transform

An image enhancement method based on multi-scale wavelet representation is discussed. Each edge in an image is analyzed by multi-resolution analysis and is classified according to the pattern of neighboring right and left edges together. A high definition image and its band-limited image are used for learning the edge relation between high resolution and low resolution. By switching the transition rule that is adapted to the input image, generating high resolution components, and using the most suitable enhancement method for each class, natural enhancement without artifacts is realized.