Compression by replication

Lossless Microarray Image Compression by Hardware Array Compactor

Microarray technology is a new and powerful tool for concurrent monitoring of large number of genes expressions. Each microarray experiment produces hundreds of images. Each digital image requires a large storage space. Hence, real-time processing of these images and transmission of them necessitates efficient and custom-made lossless compression schemes. In this paper, we offer a new archi...

RObust Header Compression (ROHC): Context Replication for ROHC Profiles

This document defines context replication, a complement to the context initialization procedure found in Robust Header Compression (ROHC), as specified in RFC 3095. Profiles defining support for context replication may use the mechanism described herein to establish a new context based on another already existing context. Context replication is introduced to reduce the overhead of the context e...

Compression of Breast Cancer Images By Principal Component Analysis

The principle of dimensionality reduction with PCA is the representation of the dataset ‘X’in terms of eigenvectors ei ∈ RN  of its covariance matrix. The eigenvectors oriented in the direction with the maximum variance of X in RN carry the most      relevant information of X. These eigenvectors are called principal components [8]. Ass...

Compression of Breast Cancer Images By Principal Component Analysis

The principle of dimensionality reduction with PCA is the representation of the dataset ‘X’in terms of eigenvectors ei ∈ RN  of its covariance matrix. The eigenvectors oriented in the direction with the maximum variance of X in RN carry the most      relevant information of X. These eigenvectors are called principal components [8]. Ass...

Image Compression by Cnn