Image compression has become one of the most important applications of the image processing field because of the rapid growth in computer power. The corresponding growth in the multimedia market, and the advent of the World Wide Web, which makes the internet easily accessible for everyone. Since the early 1980, digital image sequence processing has been an attractive research area because an image sequence, as acollection of images, may provide much compression than a single image frame. The increased computational complexity and memory space required for image sequence processing, has in fact, becoming more attainable. this research absolute Moment Block Truncation compression technique which is depend on adopting the good points of other techniques. As well as algorithm of efficient block's position has been adopted to achieve this research. Also in this paper was introduce A modify of the orthogonal search algorithm (OSA) for searching scheme has been introduced which is contributed in decreasing the motion searching time of the successive inter frames.
Video Image Compression Using Absolute Moment Block Truncation Method with Orthogonal Search Motion Estimation Technique
Absolute Moment Block Truncation
AMBTC
Orthogonal Search algorithm
Video compression
Motion estimation
Publication Date
Thu Mar 30 2023
Journal Name
Journal Of Economics And Administrative Sciences
Comparison of Some Methods for Estimating Nonparametric Binary Logistic Regression
Binary logistic regression model
Nadaraya–Watson method
Local Scoring algorithm
Cross validation method
generalized Cross validation
Plug in method.
انموذج الانحدار اللوجستي الثنائي
طريقه ناداريا –واتسون
خوارزمية التهديف الموضعي
طريقة العبور الشرعي
العبور الشرعي المعمم
طريقة الملئ المباشر .
In this research, the methods of Kernel estimator (nonparametric density estimator) were relied upon in estimating the two-response logistic regression, where the comparison was used between the method of Nadaraya-Watson and the method of Local Scoring algorithm, and optimal Smoothing parameter λ was estimated by the methods of Cross-validation and generalized Cross-validation, bandwidth optimal λ has a clear effect in the estimation process. It also has a key role in smoothing the curve as it approaches the real curve, and the goal of using the Kernel estimator is to modify the observations so that we can obtain estimators with characteristics close to the properties of real parameters, and based on medical data for patients with chro
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