SNR scalable video coder using progressive transmission of DCT coefficients

1998 ◽  
Author(s):  
Marshall A. Robers ◽  
Lisimachos P. Kondi ◽  
Aggelos K. Katsaggelos
Keyword(s):  
Scalable Video ◽  
Progressive Transmission ◽  
Video Coder ◽  
Dct Coefficients

A fully scalable video coder with inter-scale wavelet prediction and morphological coding

2005 ◽  
Author(s):  
Nicola Adami ◽  
Michele Brescianini ◽  
Marco Dalai ◽  
Riccardo Leonardi ◽  
Alberto Signoroni
Keyword(s):  
Scalable Video ◽  
Video Coder

Enhanced MC-EZBC Scalable Video Coder

2008 ◽  
Vol 18 (10) ◽  
pp. 1432-1436 ◽  
Author(s):  
Yongjun Wu ◽  
K. Hanke ◽  
T. Rusert ◽  
J.W. Woods
Keyword(s):  
Scalable Video ◽  
Video Coder

Entropy Maximization, Stationary Wavelet and DCT Based Segmentation, De-Noising and Progressive Transmission Technique for Diseased MRI Images

2012 ◽  
Vol 197 ◽  
pp. 229-234
Author(s):  
Arunava De ◽  
Anup Kumar Bhattacharjee ◽  
Chandan Kumar Chanda ◽  
Bansibadan Maji
Keyword(s):  
Region Of Interest ◽  
Image Clustering ◽  
Progressive Transmission ◽  
Stationary Wavelet Transform ◽  
Swarm Optimization ◽  
Entropy Maximization ◽  
Segmented Image ◽  
Transmission Technique ◽  
Dct Coefficients ◽  
Mri Image

We have devised a way of segmentation and progressive transmission of diseased MRI images. We use Particle Swarm Optimization (PSO) to get the region of interest (ROI) of the diseased MRI image. We use the concept of Multi-resolution Wavelet analysis to de-noise the ROI. We use Stationary Wavelet Transform together with Soft Thresholding Technique for de-noising purpose. A variable mask is used to get the segmented image. Varying percentages of DCT coefficients are used for progressive transmission of the diseased MRI image. Clustering of the images using K-Means algorithm result in predominantly two cluster namely that of diseased cells and background. Test on various MRI images show that the small diseased objects are successfully extracted irrespective of the complexity of the background and difference in intensity levels and class sizes. The proposed method only transmits the diseased MRI for further diagnosis of the disease and treatment.

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