Variational Dirichlet Blur Kernel Estimation

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Blur-Kernel Estimation from Spectral Irregularities

We describe a new method for recovering the blur kernel in motion-blurred images based on statistical irregularities their power spectrum exhibits. This is achieved by a power-law that refines the one traditionally used for describing natural images. The new model better accounts for biases arising from the presence of large and strong edges in the image. We use this model together with an accu...

متن کامل

Accelerated Variational Dirichlet Process Mixtures

Dirichlet Process (DP) mixture models are promising candidates for clustering applications where the number of clusters is unknown a priori. Due to computational considerations these models are unfortunately unsuitable for large scale data-mining applications. We propose a class of deterministic accelerated DP mixture models that can routinely handle millions of data-cases. The speedup is achie...

متن کامل

Kernel Implicit Variational Inference

Recent progress in variational inference has paid much attention to the flexibility of variational posteriors. Work has been done to use implicit distributions, i.e., distributions without tractable likelihoods as the variational posterior. However, existing methods on implicit posteriors still face challenges of noisy estimation and can hardly scale to high-dimensional latent variable models. ...

متن کامل

A Blur Kernel Estimation Method Based on the Multiplicative Multiresolution Decomposition (MMD)

The aim of this article is to propose a blur kernel estimation method based on the new concept of the Multiplicative Multiresolution Decomposition (MMD). This method quantifies the blur effect in the MMD’s domain by analyzing edges spreading through a multiresolution analysis. The histogram of edges spreading over the entire image is used as information about the blur amount in the image. Tests...

متن کامل

Variational Regularized Bayesian Estimation for Joint Blur Identification and Edge-Driven Image Restoration

The paper presents a novel method for joint blur identification and edge-driven image restoration in variational double regularized Bayesian estimation. The motivation is that the degradation of images includes not only additive, random noises but also multiplicative, spatial degradations, i.e., blur. Traditional nonlinear filtering techniques are observed in underutilization of blur identifica...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Transactions on Image Processing

سال: 2015

ISSN: 1057-7149,1941-0042

DOI: 10.1109/tip.2015.2478407