Image de-fencing using histograms of oriented gradients

Image de-fencing is often used by digital photographers to remove regular or near-regular fence-like patterns from an image. The goal of image de-fencing is to remove a fence object from an image in such a seamless way that it appears as if the fence never existed in the image. This task is mainly c...

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Bibliographic Details
Published in:Signal, image and video processing image and video processing, 2018-09, Vol.12 (6), p.1173-1180
Main Authors: Khalid, Madiha, Yousaf, Muhammad Murtaza, Murtaza, Kashif, Sarwar, Syed Mansoor
Format: Article
Language:English
Subjects:
Algorithms
Coding
Computer Imaging
Computer Science
Digital imaging
Fences
Histograms
Image detection
Image Processing and Computer Vision
Multimedia Information Systems
Original Paper
Pattern Recognition and Graphics
Signal,Image and Speech Processing
Vision
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Summary:Image de-fencing is often used by digital photographers to remove regular or near-regular fence-like patterns from an image. The goal of image de-fencing is to remove a fence object from an image in such a seamless way that it appears as if the fence never existed in the image. This task is mainly challenging due to a wide range intra-class variation of fence, complexity of background, and common occlusions. We present a novel image de-fencing technique to automatically detect fences of regular and irregular patterns in an image. We use a data-driven approach that detects a fence using encoded images as feature descriptors. We use a variant of the histograms of oriented gradients (HOG) descriptor for feature representation. We modify the conventional HOG descriptor to represent each pixel rather than representing a full patch. We evaluated our algorithm on 41 different images obtained from various sources on the Internet based on a well-defined selection criteria. Our evaluation shows that the proposed algorithm is capable of detecting a fence object in a given image with more than 98% accuracy and 87% precision.
ISSN:1863-1703
1863-1711
DOI:10.1007/s11760-018-1266-0