Give us 5 minutes and we will show you the best book to read today. This is it, the matrix algebra useful for statistics that will be your best choice for better reading book. Your five times will not spend wasted by reading this website. You can take the book as a source to make better concept. Referring the books that can be situated with your needs is sometime difficult. But here, this is so easy. You can find the best thing of book that you can read.

Matrix Algebra Useful for Statistics

A digitized image is encoded by detecting edges in the image, encoding the position and sharpness of the detected edges, filtering the image by a low-pass filter to generate a low-frequency image, and encoding the low-frequency image. A digitized image encoded in this way is reconstructed by generating a horizontal edge image and a vertical edge image from the encoded edge position and sharpness information, synthesizing a pair of high-frequency images by filtering the horizontal and vertical edge images with an edge synthesis filter, decoding the low-frequency image, and performing an inverse wavelet transform on the decoded low-frequency image and the high-frequency images.

Image encoding and decoding method and apparatus using edge synthesis and inverse wavelet transform

A method for adaptive error diffusion. The method includes the steps of receiving input image data, detecting edges in the input image data, and then adding noise to the input image data depending upon results of said edge detection. The amount of noise is higher for pixels with higher edge content, unless the pixel is on an edge that is already sharp. Once the noise is added the method performs error diffusion on the noise-enhanced image data and it produces output image data. Alternatively, noise can be added to the thresholding portion of the error diffusion process.

Adaptive error diffusion with improved edge and sharpness perception

In the error diffusion technique for digital halftoning the output color for a first pixel is selected by comparing an adjusted input color signal to a boundary separating output colors in a pallette for a display device. The error or difference between the selected output color and the input color signal is determined and portions of that difference are added to the input color signals for neighboring pixels diffusing the error throughout the area neighboring the first pixel. Error diffusion can create artifacts in the image as rendered by the display device. Error diffusion artifacts are reduced or eliminated by a higher order error diffusion method where the boundary separating output colors in the device's pallette is adjusted as a function of the error in a previous pixel.

Higher order error diffusion of digital halftoning

There is described an image processing apparatus, which makes it possible not only to eliminate the deterioration of the perceptibility, but also to determine the pages being suitable for applying the predetermined image processing. The control section determines specific pages, being suitable for applying a predetermined image processing, based on the attributes detected by the detecting section, so as to apply the predetermined image processing to the specific pages. On the other hand, the control section applies image processing, including a variable power processing, to both the partial image area and the partial character area by employing different magnification factors, so as to generate a size-changed partial image area and a size-changed partial character area, and to arrange both of them into a predetermined imaginary area being smaller than an area of the original image, so as to accommodate them within the predetermined imaginary area.

Image-processing apparatus

An image processing system for displaying pixel data on a screen performs a binary-encoding method using error diffusion with edge enhancement. In the method for binary-encoding the image data, pixels to be binary-encoded are divided into normal and edge regions, and the pixel data is binary-encoded in accordance with the divided regions. By using the method, bars on the display screen which are unpleasant to the eye can be removed and an image with good edge sharpness can be obtained.

Method and apparatus for binary-encoding image data using error diffusion with edge enhancement

Disclosed is a image processing system for displaying pixel data on a screen. In the method for binary-encoding the image information, a currently processed pixel is discriminated according to whether it is involved in normal or edge regions of the image, and the binary-encoding of the pixel information is performed in accordance with the discrimination, as is the determination of a corresponding error value. According to the method, unpleasant bars to the eye can be removed on a screen and therefore an image quality with good edge sharpness can be obtained.

Error diffusion image encoding

In this paper, we proposed an algorithm for speech enhancement of speeches corrupted by colored noise When there is no correlation between colored noise and speech signal, the colored noise turns into white noise through whitening transformation This transformed signal has been applied to the generalized subspace approach for speech enhancement The speech spectral distortion, produced by the whitening transformation as pre-processing, has been restored by using the inverse whitening transformation as post-processing of the proposed algorithm The performance of the proposed algorithm for speech enhancement has been confirmed by computer simulation The colored noises used in this experiment were car noise and multi-talker babble It is confirmed that the proposed algorithm shows better performance from SNR and SSD viewpoint over the previous approach with the data from the AURORA and TIMIT data base

http://www.koreascience.or.kr:80/article/JAKO201134036349494.pdf

A Generalized Subspace Approach for Enhancing Speech Corrupted by Colored Noise Using Whitening Transformation

In this paper, we propose a new double talk detection algorithm which detects near end signals with less degradation, tracking echo path variation of echo canceler simultaneously. Our method makes use of a cross-correlation between channel input signals and estimated error signals and a normalized cross-correlation between microphone input signals and estimated error signals. By combing thresholds for these cross-correlations pertinently, this algorithm discriminates between variation of echo path and occurrence of double talk. These two cross-correlation are used to detect double talk periods, tracking echo path variation. During the detection period, adjustive adaptive filter is ceased to prevent the echo canceler from being disturbed by near end signals. Also, the echo canceler will still be kept on for tracking any variation in echo path. Through computer simulation results, it was confirmed that the proposed algorithm shows better performance, tracking echo path variation and detecting the double talk periods, than the Ye et. al's and the NLMS algorithms from ERLE viewpoint.

A New Double-Talk Detection Algorithm

A new sidelobe cancelling scheme and its adaptive algorithm are proposed. The proposed scheme employs an adaptive compensator at the output of the conventional generalized sidelobe canceller in order to reduce undesirable fluctuations in the adaptive filter coefficients after convergence. A linear prediction error filter is utilized as the adaptive compensator. According to computer simulations, the proposed scheme yields better performance than the conventional one.

Kyung-Sik Son

Papers

Method and apparatus for binary-encoding image data using error diffusion with edge enhancement

Error diffusion image encoding

A Generalized Subspace Approach for Enhancing Speech Corrupted by Colored Noise Using Whitening Transformation

A New Double-Talk Detection Algorithm

New adaptive sidelobe canceller with compensator using adaptive linear predictor