Fully reversible image rotation by 1-D filtering

Condat, Laurent; Ville, Dimitri Van De

doi:10.1109/icip.2008.4711904

Cited by 6 publications

(4 citation statements)

References 12 publications

(14 reference statements)

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“…Therefore, the method code could be enhanced, in particular for the rotation of the images using a recursive image rotation 26 instead of a simple interpolation 18 .…”

Section: Discussionmentioning

confidence: 99%

Evolution of image regularization with PDEs toward a new anisotropic smoothing based on half kernels

Magnier

Montesinos²

2013

SPIE Proceedings

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“…Therefore, the method code could be enhanced, in particular for the rotation of the images using a recursive image rotation 26 instead of a simple interpolation 18 .…”

Section: Discussionmentioning

confidence: 99%

Evolution of image regularization with PDEs toward a new anisotropic smoothing based on half kernels

Magnier

Montesinos²

2013

SPIE Proceedings

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“…3, interpolations or pixel placements are required at each shear step. Thus, there are two important techniques for rotating images: interpolations [10,11,12] and discrete reversible rotations without loss of pixels [13,14].…”

Section: Rotation With Image Shearmentioning

confidence: 99%

“…Since previous transformations behave as low-pass filters, important image structures can be lost/smoothed by using them, especially high-frequency information. Instead of interpolating, the basic idea of discrete rotations is to replace each horizontal and vertical shear transformation with one to one pixel displacements [13,14]. The called quasi-shear transformation Q defined by:…”

Section: Discrete Rotationmentioning

confidence: 99%

Evaluation of Half Gaussian Filter Rotation for Edge Detection

Magnier

Moradi

Carré

2019

2019 8th European Workshop on Visual Information Processing (EUVIP)

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In image processing, contours can be extracted by linear convolution of the image with first-order derivative filters. The oriented half Gaussian filters are directed in all desired directions to analyze the images. Thus, they are useful for detecting contours or extracting precise orientations. The process of filter orientation requires the application of a rotation technique in a two-dimensional discrete domain of different scientific strategies: interpolation (which can modify image information) or discrete geometry (without modification of the image values). In this paper, different methods of discrete rotating the half Gaussian filter are compared and evaluated to detect contours in synthetic and real images. Results are qualitatively and quantitatively compared, validating which rotation technique is most beneficial for edge detection.

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“…Previously, a symmetric reversible method was proposed by Laurent Condat and Dimitri Van De Ville [17]. In this method, a 1-D filter is designed to convolve the rotated image with appropriate fractional delay filters.…”

Section: Related Workmentioning

confidence: 99%

Automatic Rotation Recovery Algorithm for Accurate Digital Image and Video Watermarks Extraction

Al-Maweri¹,

Sabri²,

Mansoor³

2016

ijacsa

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Abstract-Research in digital watermarking has evolved rapidly in the current decade. This evolution brought various different methods and algorithms for watermarking digital images and videos. Introduced methods in the field varies from weak to robust according to how tolerant the method is implemented to keep the existence of the watermark in the presence of attacks. Rotation attacks applied to the watermarked media is one of the serious attacks which many, if not most, algorithms cannot survive. In this paper, a new automatic rotation recovery algorithm is proposed. This algorithm can be plugged to any image or video watermarking algorithm extraction component. The main job for this method is to detect the geometrical distortion happens to the watermarked image/images sequence; recover the distorted scene to its original state in a blind and automatic way and then send it to be used by the extraction procedure. The work is limited to have a recovery process to zero padded rotations for now, cropped images after rotation is left as future work. The proposed algorithm is tested on top of extraction component. Both recovery accuracy and the extracted watermarks accuracy showed high performance level.

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Fully reversible image rotation by 1-D filtering

Cited by 6 publications

References 12 publications

Evolution of image regularization with PDEs toward a new anisotropic smoothing based on half kernels

Evolution of image regularization with PDEs toward a new anisotropic smoothing based on half kernels

Evaluation of Half Gaussian Filter Rotation for Edge Detection

Automatic Rotation Recovery Algorithm for Accurate Digital Image and Video Watermarks Extraction

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