Results 211 to 220 of about 9,112 (254)
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Neurocomputing, 2014
Content-aware image resizing has been a promising theme in the communities of image processing and computer vision. To the best of our knowledge, most existing methods for image resizing are unsupervised. These unsupervised methods may either fail to protect the interesting regions or cause distortion of the image structure. This paper presents a novel
Wang, Qi, Yuan, Yuan
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Content-aware image resizing has been a promising theme in the communities of image processing and computer vision. To the best of our knowledge, most existing methods for image resizing are unsupervised. These unsupervised methods may either fail to protect the interesting regions or cause distortion of the image structure. This paper presents a novel
Wang, Qi, Yuan, Yuan
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A new method for image resizing
2008 8th IEEE International Conference on Computer and Information Technology, 2008A new method for image processing, especially for image resizing, is presented. The new method produces pictures with higher precision, which is useful in 2D CT image resizing. Suppose that the given data points of an image are sampled from an original surface.
Caiqing Zhang +2 more
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On resizing images in the dct domain
2004 International Conference on Image Processing, 2004. ICIP '04., 2005This paper presents a general method for producing a mapping from the DCT domain to another DCT domain that results in an image that has been resized in the spatial dimension. Although the mapping is implemented entirely in the DCT domain, it can be thought of as a transformation into the spatial domain using a combined inverse DCT and resizing ...
Carlos Salazar-Lazaro, Trac D. Tran
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Electronic document image resizing
Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318), 1999Computer document treatment generally requires specific techniques to handle documents. Among the others one of great interest is resizing. The effect of resizing is more evident when thin lines are included in the document. In this case a high degradation and consequently great loss of information occurs.
V. Di Lecce +5 more
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Image resizing enhancement with DCT coefficients
Twelfth International Conference on Machine Vision (ICMV 2019), 2020According to the principle of scale transformation, signal expansion in the time domain corresponds to compression in the frequency domain, so that information energy is concentrated in the low frequency part. In this paper, an image enlargement algorithm based on the Discrete Cosine Transform (DCT) is proposed, which preserves the low frequency of the
Ka-Hou Chan, Sio Kei Im, Wei Ke 0001
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Image resizing with SIFT feature preservation
2013 IEEE International Conference on Image Processing, 2013The Scale Invariant Feature Transform (SIFT) feature can be used for an image distance measure. SIFT keypoints are mainly located on high-contrast regions of an image, such as object edges and textures, which are often visually important. Therefore, it can be said that if a resized image keeps SIFT features which the corresponding original image has ...
Kazu Mishiba, Takeshi Yoshitome
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A method for resizing images by content perception
2017 IEEE International Conference on Image Processing (ICIP), 2017Given the popularity of mobile and wearable devices, it is important to focus on the clarity of the displayed content for the end users. Currently, there is no link between the layout or size of displayed image and the information content in those images. In this paper, we present a method for optimally arranging and displaying a group of images, where
Anish Anil Patankar, Joy Bose
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2021
In the previous two chapters, we have transformed pictures by rearranging their pixels or by applying color transformations. Now we will look at operations that change the size of an image, either by extracting a sub-image or by merging pixels to produce a compressed version of the original.
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In the previous two chapters, we have transformed pictures by rearranging their pixels or by applying color transformations. Now we will look at operations that change the size of an image, either by extracting a sub-image or by merging pixels to produce a compressed version of the original.
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An image resizing algorithm for binary maps
Proceedings of the Fifth Mexican International Conference in Computer Science, 2004. ENC 2004., 2004Loss of connectivity property is a common problem presented in binary map resizing operation. There are several algorithms to make the enlargement or reduction of digital images. However, when these techniques are applied in a binary geographic map image, in order to obtain a scaled map, these algorithms do not preserve the connectivity property.
Luis Roberto Morales-Manilla +2 more
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Layered image resizing in compression domain
Signal Processing: Image Communication, 2008As an efficient unitary transform, the discrete cosine transform (DCT) has been widely adopted in compression standards. Most compressed images and videos are stored in the DCT format, and from time to time, they need to be resized for various transmission channels and consumer terminals.
Ci Wang, Ping Xue 0001, Weisi Lin
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