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Displacements in wavelet decomposition of images
Signal Processing, 1995zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Nighttime image enhancement based on image decomposition
Signal, Image and Video Processing, 2018Nighttime image captured in low- or non-uniform illumination scene always suffers from the loss of visibility and contains various noise and objectionable artifact. When we enlarge the amplitude of the brightness, the noise and artifact will be amplified as well. Hence, we propose a nighttime image enhancement approach based on image decomposition.
Xuesong Jiang, Hongxun Yao, Dilin Liu
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Efficient intrinsic image decomposition for RGBD images
Proceedings of the 21st ACM Symposium on Virtual Reality Software and Technology, 2015Intrinsic image decomposition is a longstanding problem in computer vision. In this paper, we present a novel approach for efficiently decomposing an RGBD image into its reflectance and shading components. A robust super-pixel segmentation method is employed to select piece-wise constant reflectance regions and reduce the total number of unknowns. With
Jian Shi +3 more
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Single image blind deblurring with image decomposition
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012How to deal with themotion blurred image is a common problem in our daily life. Restoring blurred images is challenging, especially when both the blur kernel and the sharp image are unknown. In this work, we present a new algorithm for removing motion blur from a single image, which incorporates the image decomposition into the image deblurring process.
Yuquan Xu +3 more
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Rectangular Decomposition of Binary Images
2012The contribution deals with the most important methods for decomposition of binary images into union of rectangles. The overview includes run-length encoding and its generalization, decompositions based on quadtrees, on the distance transformation, and a theoretically optimal decomposition based on maximal matching in bipartite graphs.
Tomás Suk +2 more
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Image coding approach based on image decomposition
28th Picture Coding Symposium, 2010Textures in many images or video scenes are difficult to code because of the large amount of visible detail. This paper proposes an image coding approach to solve this problem, in which we incorporate image decomposition and texture synthesis technology into the image coding framework.
Yunhui Shi +3 more
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Gradient-domain image decomposition for image recovery
2015 IEEE International Conference on Image Processing (ICIP), 2015This paper aims to introduce a convex prior based on gradient-domain image decomposition (GID) for image recovery. As a useful class of convex priors, total variation (TV) and its variants have been widely investigated. Among them, total generalized variation (TGV) is paid much attention recently, because it provides rich visual quality around edges ...
Makoto Watanabe +2 more
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Bayesian image decomposition applied to relaxographic imaging
International Journal of Imaging Systems and Technology, 2005AbstractT1 relaxographic imaging is a precise and accurate way to characterize tissue. A number of fast MRI acquisition techniques allow both spatial and magnetization recoveries to be well sampled in reasonable imaging times. However, two limitations common to the analysis of relaxographic imaging data are (1) the assumption of single exponential ...
Truman R. Brown +5 more
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A morphological pyramidal image decomposition
Pattern Recognition Letters, 1989Abstract A multiresolution image representation is presented in which iterative morphological filters of many scales but identical shape serve as basis functions. Structural pattern decomposition is achieved by subtracting successive layers in the multiresolution representation.
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Image Zooming Model Based on Image Decomposition
2018According to the different morphological characteristics between cartoons and textures in images, an image zooming model was proposed which based on image decomposition. The model decomposed the image into cartoons and textures by decomposition model; it analyzed the features of isotropic model and anisotropic model, the cartoon part was zoomed by ...
Yongguo Zheng, Songhe Gao
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