Interactive Shadow Removal from a Single Image Using Hierarchical Graph Cut

نویسندگان

  • Daisuke Miyazaki
  • Yasuyuki Matsushita
  • Katsushi Ikeuchi
چکیده

We propose a method for extracting a shadow matte from a single image. The removal of shadows from a single image is a difficult problem to solve unless additional information is available. We use user-supplied hints to solve the problem. The proposed method estimates a fractional shadow matte using a graph cut energy minimization approach. We present a new hierarchical graph cut algorithm that efficiently solves the multi-labeling problems, allowing our approach to run at interactive speeds. The effectiveness of the proposed shadow removal method is demonstrated using various natural images, including aerial photographs.

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

An Efficient Hierarchical Approach for Background Subtraction and Shadow Removal using Adaptive GMM and Color Discrimination

This paper presents an efficient approach for moving objects detection and shadow removal from color videos obtained using stationary camera. A background subtraction technique based on modified adaptive GMM has been proposed for detecting moving objects. Speed-up techniques have also been applied to enhance the computational efficiency of the algorithm. Then, a robust algorithm for shadow remo...

متن کامل

Interactive Shadow Editing from Single Images

We present a system for interactive shadow editing from single images which includes the manipulations of shape, distribution, sharpness and darkness of shadows according to the features of existing shadows. We first obtain a shadow-free image, shadow boundary and its registered sparse shadow scales using an existing shadow removal method. The modifiable features of the shadow are synthesised f...

متن کامل

Comparison of shadow detection in a difficult scene

This material consists of 3 parts: 1) Comparison of shadow detection on a challenging case; 2) Applications of our work; 3) Extended visual comparisons of our shadow removal results. We plan to officially release our data set in 2014. To allow for repeatable evaluation for future comparison, our P-code, the user input data, output data and the scripts for ground truth evaluation and quantitativ...

متن کامل

A comparative performance of gray level image thresholding using normalized graph cut based standard S membership function

In this research paper, we use a normalized graph cut measure as a thresholding principle to separate an object from the background based on the standard S membership function. The implementation of the proposed algorithm known as fuzzy normalized graph cut method. This proposed algorithm compared with the fuzzy entropy method [25], Kittler [11], Rosin [21], Sauvola [23] and Wolf [33] method. M...

متن کامل

Appearance Harmonization for Single Image Shadow Removal

Shadow removal is a challenging problem and previous approaches often produce de-shadowed regions that are visually inconsistent with the rest of the image. We propose an automatic shadow region harmonization approach that makes the appearance of a de-shadowed region (produced using any previous technique) compatible with the rest of the image. We use a shadow-guided patch-based image synthesis...

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 2009