Results 171 to 180 of about 4,044 (217)
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Iterated denoising for image recovery
Proceedings DCC 2002. Data Compression Conference, 2003We propose an algorithm for image recovery where completely lost blocks in an image/video-frame are recovered using spatial information surrounding these blocks. Our primary application is on lost regions of pixels containing textures, edges and other image features that are not readily handled by prevalent recovery and error concealment algorithms ...
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Image Recovery from Broken Image Streams
2007 IEEE International Conference on Image Processing, 2007This paper presents an approach for image recovery from broken image streams based on an image continuity model. The information to be recovered includes the header of an image (width, height, color space etc.) and the data stream which might have been partially damaged.
Xiaoyu Zhao +5 more
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Error recovery in JPEG2000 image transmission
2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002In this paper, the problem of bit-errors recovery in JPEG2000 images transmission is addressed, with particular attention to errors in the high-frequency components. In the HL and LH sub-bands, differently from the LL band, interpolation based recovering results tend to be often ineffective when more than a few adjacent wavelet coefficients are missing.
ATZORI, LUIGI, S. CORONA, D. D. GIUSTO
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Image recovery of ghost imaging with sparse spatial frequencies
Optics Letters, 2020When the spatial frequencies of the object are insufficiently sampled, the reconstruction of ghost imaging will suffer from repetitive visual artifacts, which cannot be effectively tackled by existing ghost imaging reconstruction techniques. In this Letter, extensions of the CLEAN algorithm applied in ghost imaging are explored to eliminate those ...
Dongyue Yang +8 more
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SPECT imaging with resolution recovery
2011 2nd International Conference on Advancements in Nuclear Instrumentation, Measurement Methods and their Applications, 2011Single-photon emission computed tomography (SPECT) is a method of choice for imaging spatial distributions of radioisotopes. Applications of this method are found in medicine, biomedical research and nuclear industry. This paper deals with improving spatial resolution in SPECT by applying correction for the point-spread function (PSF) in the ...
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Sparse Recovery Of Imaging Transcriptomics Data
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021Imaging transcriptomics (IT) techniques enable characterization of gene expression in cells in their native context by imaging barcoded mRNA probes with single molecule resolution. However, the need to acquire many rounds of high-magnification imaging data limits the throughput and impact of existing methods.
John P. Bryan +3 more
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2021
Image repair is based on the incomplete image and the prior knowledge of the original image, and the corresponding region defect is corrected by using corresponding methods to achieve the purpose of restoring the original appearance of the image (Gonzalez and Woods 2018; Sonka et al. 2014; Zhang 2015b).
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Image repair is based on the incomplete image and the prior knowledge of the original image, and the corresponding region defect is corrected by using corresponding methods to achieve the purpose of restoring the original appearance of the image (Gonzalez and Woods 2018; Sonka et al. 2014; Zhang 2015b).
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Tamper detection and image recovery for BTC-compressed images
Multimedia Tools and Applications, 2016To ensure the integrity of images compressed using block truncation coding (BTC), a tamper detection and image recovery scheme is proposed in this paper. In this scheme, the size of the authentication data can be adaptively selected according to the user’s requirement.
Yu-Chen Hu +2 more
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Detail Recovery in Medical Images Denoising
2019 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2019Details in medical images are important for doctors’ diagnosis. However, the images processed by current image denoising methods tend to be over-smooth at edges to some extent due to the lack of special attention to details. In order to remove noises and preserve details of medical images, we propose a GAN-based network named SDGAN which focuses on the
Xuyang Wang 0003 +5 more
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Total variation information in image recovery
Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004Total variation has proven to be a valuable concept in connection with the recovery of images featuring piecewise smooth components. So far, however, it has been used exclusively as an objective to be minimized under a single constraint. In this paper, we propose an alternative framework in which total variation is used as a constraint in a general ...
Patrick L. Combettes +1 more
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