Good Regions to Deblur

نویسندگان

  • Zhe Hu
  • Ming-Hsuan Yang
چکیده

The goal of single image deblurring is to recover both a latent clear image and an underlying blur kernel from one input blurred image. Recent works focus on exploiting natural image priors or additional image observations for deblurring, but pay less attention to the influence of image structures on estimating blur kernels. What is the useful image structure and how can one select good regions for deblurring? We formulate the problem of learning good regions for deblurring within the Conditional Random Field framework. To better compare blur kernels, we develop an effective similarity metric for labeling training samples. The learned model is able to predict good regions from an input blurred image for deblurring without user guidance. Qualitative and quantitative evaluations demonstrate that good regions can be selected by the proposed algorithms for effective image deblurring.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Good Regions to Deblur

In the manuscript, we discuss the blur kernel measurement giving the ground truth kernel and propose an effective kernel similarity (KS) metric. In this section, we provide examples and more results to justify the proposed kernel similarity metric in Section 3 of the manuscript. A good metric for kernel similarity should be shift and range (i.e., the size of kernel) invariant. Figure 1 shows th...

متن کامل

Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns

High-throughput sequencing of 16S ribosomal RNA gene amplicons has facilitated understanding of complex microbial communities, but the inherent noise in PCR and DNA sequencing limits differentiation of closely related bacteria. Although many scientific questions can be addressed with broad taxonomic profiles, clinical, food safety, and some ecological applications require higher specificity. He...

متن کامل

To denoise or deblur: parameter optimization for imaging systems

In recent years smartphone cameras have improved a lot but they still produce very noisy images in low light conditions. This is mainly because of their small sensor size. Image quality can be improved by increasing the aperture size and/or exposure time however this make them susceptible to defocus and/or motion blurs. In this paper, we analyze the trade-off between denoising and deblurring as...

متن کامل

Adversarial Spatio-Temporal Learning for Video Deblurring

Camera shake or target movement often leads to undesired blur effects in videos captured by a hand-held camera. Despite significant efforts being devoted to video-deblur research, two major challenges remain: 1) how to model the spatiotemporal characteristics across both the spatial domain (i.e. image plane) and temporal domain (i.e. neighboring frames), and 2) how to restore sharp image detail...

متن کامل

Video Deblurring and Super-Resolution Technique for Multiple Moving Objects

Video camera is now commonly used and demand of capturing a single frame from video sequence is increasing. Since resolution of video camera is usually lower than digital camera and video data usually contains a many motion blur in the sequence, simple frame capture can produce only low quality image; image restoration technique is inevitably required. In this paper, we propose a method to rest...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012