Local Blur Estimation and Super-Resolution
نویسندگان
چکیده
Until now, all super-resolution algorithms have presumed that the images were taken under the same illumination conditions. This paper introduces a new approach to super-resolution—based on edge models and a local blur estimate—which circumvents these difficulties. The paper presents the theory and the experimental results using the
منابع مشابه
Improving Super-resolution Techniques via Employing Blurriness Information of the Image
Super-resolution (SR) is a technique that produces a high resolution (HR) image via employing a number of low resolution (LR) images from the same scene. One of the degradations that attenuates performance of the SR is the blurriness of the input LR images. In many previous works in the SR, the blurriness of the LR images is assumed to be due to the integral effect of the image sensor of the im...
متن کاملSuper-resolution of Defocus Blurred Images
Super-resolution is a process that combines information from some low-resolution images in order to produce an image with higher resolution. In most of the previous related work, the blurriness that is associated with low resolution images is assumed to be due to the integral effect of the acquisition device’s image sensor. However, in practice there are other sources of blurriness as well, inc...
متن کاملBlind Single-Image Super Resolution Reconstruction with Defocus Blur
A blind single-image super resolution method is proposed to enhance the spatial resolution of the image with defocus blur. Firstly, according to the low resolution imaging model, a framework of blind singleimage super resolution reconstruction is presented. Secondly, utilizing Wiener filtering algorithm, the errorparameter curve of the defocus blurred image was generated, through which the defo...
متن کاملEvaluating Data Terms for Variational Multi-frame Super-Resolution
We present the first systematic evaluation of the data terms for multi-frame super-resolution within a variational model. The various data terms are derived by permuting the order of the blur-, downsample-, and warp-operators in the image acquisition model. This yields six different basic models. Our experiments using synthetic images with known ground truth show that two models are preferable:...
متن کاملSimple, Accurate, and Robust Nonparametric Blind Super-Resolution
This paper proposes a simple, accurate, and robust approach to single image nonparametric blind Super-Resolution (SR). This task is formulated as a functional to be minimized with respect to both an intermediate super-resolved image and a nonparametric blur-kernel. The proposed approach includes a convolution consistency constraint which uses a non-blind learning-based SR result to better guide...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1997