... could be applied to both gray scale images and colorimages 2.1 Traditional Approaches forColor Image Segmentation The general segmentation methods forcolorimages can be grouped into four main ... schemes according to the color contents of the images Therefore, different images will have different clusters of colors They have been shown to yield the best overall performance in terms of good ... algorithm is applied to the colors in an image instead of the colors in an entire color space Therefore, adaptive binning produces different binnings for different images Adaptive binning groups...
... LLC • For uniform and discrete PAM channel input distributions, undesirable local minima of the Sato and the BGR algorithms exist that not satisfy the open-eye condition [6, 7, 16] • For uniform ... constellation, CMA is a versatile algorithm that can be used not only for digital communication signals but also for analog signals that not conform to a finite constellation alphabet FIGURE 24.4: An example ... various available information about the input symbol and the channel output to improve the quality of blind equalization Usually, the following information is available to the receiver for blind equalization:...
... data, and reliance on background ontological information For example, H´ de et al (2004) generate dee scriptions forimages of objects shot in uniform background Their system relies on a manually ... tuples for training, 240 tuples for development and 240 for testing) Documents and captions were parsed with the Stanford parser (Klein and Manning, 2003) in order to obtain dependencies for the ... understand the information expressed in them The task of generating captions for news images is novel to our knowledge Instead of relying on manual annotation or background ontological information we...
... proposed to date forcolor image processing Nonlinear filters applied to colorimages are required to preserve edges and details and to remove different kinds of noise Especially, edge information is ... important for human perception Therefore, its preservation and possibly enhancement, are very important subjective features of the performance of nonlinear image filters 1.1.1 Noise in ColorImages ... Nonlinear Techniques forColor Image Processing 1.3.1 Anisotropic Diffusion Applied to ColorImages Let F(x, y, t) = [Fr (x, y, t), Fg (x, y, t), Fb (x, y, t)] denote a color image pixel at position...
... performed well on images with low noise variance (s = 10) The differences in performance of these filters are difficult to distinguish in the restored imagesfor low noise, but inspection of images ... significantly with noise levels for PCA than for NPCA Therefore, the number of principal components for NPCA is more robust to variations in noise as well as in images than for PCA Figure shows the ... significantly with noise level for PCA than for NPCA Therefore, the number of principal components was more robust to variations in the noise as well as in the imagesfor NPCA than for PCA We also proposed...
... Information and Data Embedding The overhead information includes two kinds of data; SH is the pattern pairs information (Figure 5) for data embedding, and LH is the important LUT template information ... (Figure 9) for improving the quality of recovery images Since different images have different contents of SH and LH We should embed the overhead information into the halftone image for image recovery ... methods with ten imagesfor training Table shows the PSNR values for the recovery images using these different methods Experimental results show that the reconstructed grayscale images using the...
... times for some of the other denoising methods presented in Table are appreciated For example for the redundant BLS-GSM with estimation window of size × 3, the computation time for denoising images ... used for the computation of the DT-CWT: for the first decomposition level and for the other levels [7] The first diversification mechanism is realized through the selection of two types of filters for ... filter acts for the first three iterations of each DWT as a bishrink filter with global estimation of local variance, for the forth iteration it acts as a local adaptive Wiener filter and for the fifth...
... characterized by its color I(P) The subset formed by all the pixels P whose colors I(P) are included in the cube Dl (C) is hereafter referred to as Sl (C) For any color point C of the color space, the ... perform a fuzzy morphological transformation of the sccf based on fuzzy morphological operators specially designed for mode detection (see Section 4) SPATIAL -COLOR COMPACTNESS FUNCTION OF A COLOR ... So, in case of nonuniform lighting, the histogram is not always a relevant tool forcolor image segmentation by mode detection 2.2 Spatial -color pixel classification Spatial -color pixel classification...
... this work is on hiding information in images, the cover messages will be denoted as cover images 2.2 Selection of the Modifiable Coefficient Set The JPEG compression codes the images by dividing them ... lossless format and grayscaled Image dimensions are 512 × 512 pixels The images are converted in JPEG format with a fixed quality factor equal to 80 3.1 PSNR Evaluation This experiment is performed ... test; (iv) both the test images and the train images are analyzed by the steganalyzer without the embedded message (as cover images) and with the embedded message (as stego images) ; (v) the support...
... for varying Q values Observe CF that as N tends to large values and (11) tends to (2), that is, for large N, the behavior is exactly that of the LP biquad (or APGF) Note that for N = 32 and for ... “design recipe” for fitting to physiological data For example, one of our most recent engineering efforts details the design of an analog VLSI implementation of a fourth-order OZGF channel for real-time ... expression for the peak gain The peak gain expression was plotted in MATLAB for various N values and with Q ranging from 0.75 to The result is a family of curves that can be used to determine N or Q for...
... instrumental variables for the estimation of the optic flow parameters 4.2 Colorimages Here we consider an RGB color model Other color models are similar The RGB model decomposes colors into their ... Three color channels not contain more information than one mono-chromatic channel from a geometric point of view They do, however, contain statistical information Here we use this color information ... by a color consistency constraint to obtain equations with higher accuracy However, previous studies did not consider noise in the color images, or extracting statistical information from color...
... noticeable for the SX and LI methods The new IEKF approach outperformed all methods for both azimuth and depth We attribute this superior performance largely to the elimination of the initial closed-form ... interpolation is performed to overcome the granularity in the estimate corresponding to the sampling interval [1] Solving for that x minimizing (5) would be eminently straightforward were it not for the ... can define a model for the motion of the speaker, in the form typically seen in the process equation of a Kalman filter Thereafter, we can apply the standard Kalman filter update formulae directly...
... library of the hard optimized IP cores; for example, complex-taps FIR filters used as PE for the adaptive MUD It is necessary to estimate the timing performance and HW resources required by architectures ... necessary to minimize the clock rate for power consumption The program is helpful for choosing a type of suitable architecture in terms of pipeline strategy for the algorithmic specification of ... for the data rate in fast-fading conditions are excluded for the system of 16 users because of the 10 EURASIP Journal on Applied Signal Processing Table 3: Utilization ratio of hardware (%) for...
... was born in Ferrol, Galiı ı cia, Spain, in 1974 He obtained the Licenciado en Informatica (M.S.) and Doctor en Informatica (Ph.D.) degrees from Universidade da Coru˜ a, Spain, in 1997 and 2000, ... i=1 =1 REFERENCES [1] J M´guez, M F Bugallo, and P M Djuri´ , “A new class of parı c ticle filters for random dynamic systems with unknown statistics,” EURASIP Journal on Applied Signal Processing, ... where she is currently an Assistant Professor and teaches courses in digital communications and information theory Her research interests lie in the area of statistical signal processing and its...
... into a unified framework Different color naming systems often refer to different uniform color spaces, for which a closed form or exact transformation to a “usable” color space (like XYZ, Lab, LMS) ... suitable for the definition of an automatic color naming system The model performance for color- based semantic segmentation was evaluated on both a painting and a sport image The good performance ... terms, color foci represent the best examples of a named color out of a set of color samples As very well pointed out in [7], the color naming process consists in a mapping N from the color representation...
... performance This is an expected result that has been observed in many previous studies for other multiuser detectors [31, 40] ROBUST RECURSIVE SYMBOL ESTIMATION BASED ON A NETWORK OF KALMAN FILTERS ... “Non-Gaussian noise models in signal processing for telecommunications: new methods and results for class A and class B noise models,” IEEE Trans Inform Theory, vol 45, no 4, pp 1129–1149, 1999 ... users are time-division multiplexed before their transmission over a multiuser channel In this paper, we focus on a symbol-by-symbol multiuser detection scheme For this reason, we let the observation...