This paper presents an efficient image enhancement method by fusion of two different exposure images in low-light condition. We use two degraded images with different exposures: one is a long-exposure image that preserves the brightness but contains blur and the other is a short-exposure image that contains a lot of noise but preserves object boundaries. The weight map used for image fusion wit...

In practice, we meet numerous image restoration problems, particularly those on face images. An approach to image restoration based on statistical prior of faces and image blur measure is presented in this paper. The novelty of the approach is twofold: 1) the prior on the shape and appearance of a face represented as statistical models is incorporated into the regularized image restoration form...

Recurrence of small image patches across different scales of a natural image has been previously used for solving ill-posed problems (e.g., superresolution from a single image). In this paper we show how this multi-scale property can also be used for “blind-deblurring”, namely, removal of an unknown blur from a blurry image. While patches repeat ‘as is’ across scales in a sharp natural image, t...

Pixmotor is an image-based technique developed by Rhythm & Hues for adding realistic motion blur to a statically rendered image, using a pixel motion and a depth image, which are inexpensively generated by the renderer. The resulting motion blur is of sufficiently high quality to have seen extensive use in recent motion pictures, including Garfield: A Tale of Two Kitties and Night at the Museum...

A near accurate method for extracting blur parameters from a non-uniformly motion blurred images; in a blind image deconvolution scheme is proposed. In case of a non-uniform motion blur, we should be able to extract both the blur parameters and the combination of their extent fairly accurate, in order to improve the quality of the restored image. Initially, the parameters of the motion blur poi...

In this article, the problem of blur in a panoramic image from a catadioptric camera is analyzed through the determination of the virtual image. This determination is done first with an approximative method, and second through the caustic approach. This leads us to a general caustic approach of panoramic image analysis, where equations of virtual images are given. Finally, we give some direct a...

An image can be reconstructed from the finite set of its orthogonal moments. Since geometric and complex moment kernels do not satisfy orthogonality criterion, direct image reconstruction using them is deemed to be difficult. In this paper, we propose a technique to reconstruct an image from either geometric moments (GMs) or complex moments (CMs). We utilize a relationship between GMs and Stirl...

There is an increasing demand on identifying the sharp and the blur photos from a burst of series or a mass of collection. Subjective assessment on image blurriness takes account of not only pixel variation but also the region of interest and the scene type. It makes measuring image sharpness in line with visual perception very challenging. In this paper, we devise a noreference image sharpness...

image processing applications. In case of image compression, quality of decompressed image is also the criterion for evaluation of given coding scheme. In the process of compression –decompression various artifacts such as blocking artifacts, blur artifact, ringing or edge artifact are observed. However quantification of these artifacts is a difficult task. We propose here novel method to quant...

This paper describes a method to enhance line structures in a gray level image. For this purpose, we blur the image using anisotropic gaussian filters along the directions of each line structures. In a line structure region the gradients of image gray levels have a uniform direction. To find such line structures, we evaluate the uniformity of the directions of the local gradients. Before this e...