Magnetic Resonance (MR) image is a medical image technique required enormous data to be stored and transmitted for high quality diagnostic application. Various algorithms have been proposed to improve the performance of the compression scheme. In this paper we extended the commonly used algorithms to image compression and compared its performance. For an image compression technique, we have lin...

ABSTRACT ____________________________________________________________ This thesis investigates the prospect of using a Binary Discrete Cosine Transform as an integral component of an image compression system. The Discrete Cosine Transform (DCT) algorithm is well known and commonly used for image compression. Various compression techniques are actively being researched as they are attractive for...

Compression is one of the most demanding of the processing steps. Still, image compression is achieved by removing spatial redundancy, while in video devices, temporal redundancy can be used to further improve the compression performance. Various image compression algorithms and coding schemes have been proposed, such as predictive coding, Discrete Cosine Transform (DCT) based compression algor...

In recent years Fractal image compression techniques have gained more interest because of their capability to achieve high compression ratios while maintaining very good quality of the reconstructed image. Since Fractal image compression is computationally very expensive, some researchers tried to parallelize the encoding algorithm. Spiral Architecture is a relatively new and powerful approach ...

Fractal techniques for image compression have recently attracted a great deal of attention. Fractal image compression is a relatively recent technique based on the representation of an image by a contractive transform, on the space of images, for which the fixed point is close to the original image. This broad principle encompasses a very wide variety of coding schemes, many of which have been ...

In the paper is presented one new approach for adaptive processing and compression of images of scanned documents, which contain text and pictures. In order to achieve high compression with maximum retained quality, the document content is analyzed and two corresponding regions of interest are set. Then, each region is processed as follows: the text – with lossless and the picture – with lossy ...

Data-driven paradigms using machine learning are becoming ubiquitous in image processing and communications. In particular, image-to-image (I2I) translation is a generic widely used approach to problems, such as synthesis, style transfer, restoration. At the same time, neural compression has emerged data-driven alternative traditional coding approaches visual this paper, we study combination of...

In this paper, we implemented both sequential and parallel version of fractal image compression algorithms using CUDA (Compute Unified Device Architecture) programming model for parallelizing the program in Graphics Processing Unit for medical images, as they are highly similar within the image itself. There are several improvement in the implementation of the algorithm as well. Fractal image c...

The demand for handling images in digital form has increased dramatically in recent years. Image compression is an effective technique of reducing or less the amount of image information that are required to represent/show an image in better format ,after compression image size get reduced.The objective of image compression is to reduce the amount of digital images information and therefore red...

The improvements of aerial image scanners regarding the scan resolution and in particular the development of new digital cameras (e.g. the DMC of Z/I Imaging) comes along with the production of Gigabytes of image data. To handle these big data sets image compression algorithms are applied. The number of developed image compression procedures is growing and investigations of the consequences for...