HANDBOOK OF IMAGE AND VIDEO PROCESSING PDF DOWNLOAD

Hindawi Publishing CorporationEURASIP Journal on Image and Video ProcessingVolume 2007, Article ID 70872, 2 pagesdoi:10.1155/2007/70872EditorialFacial Image ProcessingChristophe Garcia,1J¨orn Ostermann,2and Tim Cootes31Laboratory of Image, Rich Media[r]

bands, each initially interpolated channel is subsampled intosubimages, and then the high-frequency components of theunknown values are projected onto the high-frequency com-ponents of the corresponding known values. In their workentitled “Color image coding by colorizati[r]

sensors for 3D reconstruction. In the first paper (Yi-pingTang et al., “Design of vertically aligned binocular omnistereovision sensor”), several types of omnidirectional stereosensors are designed based on the combination of hyperbolicand regular resolution mirrors. In the secon[r]

While correlation is a powerful tool in image processing, it suffers from a significant limitation: the target image must be exactly the same size and
rotational orientation as the corresponding area in the searched image. Noise and other variations in[r]

sunny day while the camera is inside of the building, orin a video-phone application where a bright sky behindthe person dominates the scene. These solutions are oftenused for low- to medium-dynamic range sensors whichcannot captur e the dynamics of the High-Dynamic R ange(HDR)[r]

transform coding, three separate prediction paths, and sideinformation in order to accommodate all possible scenari osat the decoder. For this reason, three different algorithms forredundancy allocation were implemented, and experimentalresults were presented. An improved algorithm base[r]

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Hindawi Publishing CorporationEURASIP Journal on Image and Video ProcessingVolume 2010, Article ID 814319, 12 pagesdoi:10.1155/2010/814319Research ArticleAutomatic Seg mentation and Inpainting ofSpecular Highlig hts for Endoscopic ImagingMirko Arnold, Anarta Ghosh, Stefan[r]

Hindawi Publishing CorporationEURASIP Journal on Image and Video ProcessingVolume 2011, Article ID 684819, 16 pagesdoi:10.1155/2011/684819Research Ar ticleContextual Information and Covariance Descriptors for PeopleSurveillance: An Application for Safety of Constru[r]

64 avenue Jean Portalis, 37200 Tours, France3Models Images Vision (MIV) Team, Image Sciences, Computer Scie nces and Remote Sensing Laboratory (LSIIT),Universit´e Louis Pasteur de Strasbourg, Pˆole API, Bd. Brant, BP 10413, 67412 Illkirch, FranceCorrespondence should be addressed to Ol[r]

to weak character recognition, it is of crucial importance toachieve the reliable segmentation of the text to be detected.In our system, the segmentation of text area consists oftwo image processing operations: edge-detection a nd thresh-olding. Bearing in mind tha[r]

This grouping technique has proven to be particularly use-ful for the processing of video sequences characterized bylow motion, that is, having few differences among consecu-tive frames [5]. This is particularly tr ue in medical sequences,such as angiograms. In these cases, the g[r]

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Figure 2: Schematic representation of the SeeColor targeted mobility aid. A user points stereo cameras towards the portion of a visual scenethat will be sonified. Typical colors, here green for the traffic light and yellow for the crosswalk, are transformed into particular musicali[r]

reviewers, and the editorial team of the EURASIP Journalon Image and Video Processing for their effort in thepreparation of this special issue. It is our hope that thisspecial issue, in some small way, can help open up a dialoguebetween researchers in[r]

histogram clearly reveals that nearly all of the gray levels that occur in the image fallwithin a small range of grayscales, and the image is of correspondingly poor contrast.It is possible that an image may be taken under correct lighting and[r]

important to know if the two half-images have been appropriately “shuffled” by thedigitization hardware or if that should be implemented in software. Further, theanalysis of moving objects requires special care with interlaced video to avoid“zigzag” edges.The number of rows (N)[r]

objects from unreliable estimate coordinates. Bugeau andPerez combine predictions and object detections in anenergy function that is minimized via graph cuts to achievesimultaneous tracking and segmentation of multiple objects.The paper by Park et al. describes an approach to lo[r]

discussed in three following articles. The article entitled “Denoising Algorithm for the 3D Depth Map Sequences Based on Multihypothesis Motion Estimation” by L. Jovanov, A. Pizurica, and W. Philips proposes an efficient wavelet-based depth video denoising approach based on multi-hypot[r]

discussed in three following articles. The article entitled “Denoising Algorithm for the 3D Depth Map Sequences Based on Multihypothesis Motion Estimation” by L. Jovanov, A. Pizurica, and W. Philips proposes an efficient wavelet-based depth video denoising approach based on multi-hypot[r]