Search Results - subject:"Image compression"

A hybrid medical image coding based on block truncation coding and residual vector quantisation

Chitra, P.; Rani, M. Mary Shanthi - In: International journal of intelligent enterprise 8 (2021) 2/3, pp. 278-287

Persistent link: https://www.econbiz.de/10012512586

Switching of Wavelet Transforms by Neural Network for Image Compression

Chakib, Houda; Minaoui, Brahim; Salhi, Abderrahim; … - In: Journal of Electronic Commerce in Organizations (JECO) 16 (2018) 1, pp. 43-56

rates are available, image compression is necessary in order to reduce the memory used, as well the transmission cost. An … ideal image compression system must yield high-quality compressed image with high compression ratio. In this article, a … neural network is implemented for image compression using the feature of wavelet transform. The idea is that a back …

Persistent link: https://www.econbiz.de/10012049008

Switching of wavelet transforms by neural network for image compression

Chakib, Houda; Minaoui, Brahim; Salhi, Abderrahim; … - In: Journal of electronic commerce in organizations : the … 16 (2018) 1, pp. 43-56

Persistent link: https://www.econbiz.de/10011809542

Loss less Compression of Fluoroscopy Medical Images Using Correlation

Arif, Arif Sameh; Mansor, Sarina; Logeswaran, Rajasvaran; … - In: Journal of Asian Scientific Research 2 (2012) 11, pp. 718-723

Medical institutions generate an enormous amount of medical images for examinations such as fluoroscopy, where each examination of a patient consists of a collection of images. This takes up a large amount of valuable storage space, in addition to the amount of time and cost incurred during...

Persistent link: https://www.econbiz.de/10010603867

Capturing patterns via parsimonious t mixture models

Lin, Tsung-I; McNicholas, Paul D.; Ho, Hsiu J. - In: Statistics & Probability Letters 88 (2014) C, pp. 80-87

Parsimonious mixtures of multivariate t-factor analyzers are used for robust clustering of high-dimensional data. Sixteen parsimonious mixtures of t-factor analyzers are utilized and the AECM algorithm is used for parameter estimation. Application to compact facial representation is illustrated.

Persistent link: https://www.econbiz.de/10010752965

2:1 UPSAMPLING-DOWNSAMPLING IMAGE RECONSTRUCTION SYSTEM

Tănase, Mihai Cristian; Zaharescu, Mihai; Bucur, Ion - In: Romanian Economic Business Review 7 (2013) 2, pp. 294-299

In this paper the subject that is considered is an efficient way to send images over an unreliable network link, so that with a small bandwidth, the receiver obtains data at the best quality in an acceptable time. This paper resumes a study that was made, presented in detail, and gives an...

Persistent link: https://www.econbiz.de/10010723351

Dynamical low-rank approximation: applications and numerical experiments

Nonnenmacher, Achim; Lubich, Christian - In: Mathematics and Computers in Simulation (MATCOM) 79 (2008) 4, pp. 1346-1357

Dynamical low-rank approximation is a differential-equation-based approach to efficiently compute low-rank approximations to time-dependent large data matrices or to solutions of large matrix differential equations. We illustrate its use in the following application areas: as an updating...

Persistent link: https://www.econbiz.de/10010870388