Changes of texture features due to image compression

Texture based DICOM Image Compression

Image processing is one of the most researched area these due to the flooding of the internet with an overload of images. The noble medicine industry is not left untouched. It has also suffered with an excess of patient record storage and maintenance. With the advent of automation of the industries in the world the medicine industry has sought to change and provide a more portable feel to it. L...

Quantifying Interpretability Loss due to Image Compression

Image Categorization Using Texture Features

A method for finding all images from the same category as a given query image (termed categorization) using texture features is presented. The hypothesis that two images that are similar in texture are likely to belong to the same category, is examined. A new texture feature termed N M -gram is presented. It is based on theN -gram technique that is commonly used for text similarity. The process...

Detecting Image Spam Using Image Texture Features

Filtering image email spam is considered to be a challenging problem because spammers keep modifying the images being used in their campaigns by employing different obfuscation techniques. Therefore, preventing text recognition using Optical Character Recognition (OCR) tools and imposing additional challenges in filtering such type of spam. In this paper, we propose an image spam filtering tech...

Fractal Image Compression for Efficient Texture Mapping

Texture mapping has traditionally been used to add visual realism to computer graphics images. In the paper we propose an alternative technique for image texture handling. We use fractal image compression scheme to compress and decompress large and complex textures. We identify special properties of the method to apply in the very process of texture mapping. The main idea is to exploit high deg...