Spiral Architecture (SA) is a novel image structure which has hexagons but not squares as the basic elements. Apart from many other advantages in image processing, SA has shown two unbeatable characters that have potential to improve image compression performance, namely, Locality of Pixel Density and Uniform Image Partitioning. Fractal image compression is a relatively recent image compression...

1 The Problem of Image Compression Image processing is important but diicult. An important part of data processing is processing images. One of the main problems with storing and processing images is that an image contains a large amount of data. A simple image on a PC contains about 1 Megabyte of data, and a good photo contain thousand times more: about 1 Gigabyte (10 9 bytes) of data. These p...

Image processing field has been revolutionized by advancements in imaging technologies. Due to increasing requirements for transmission and storage of images in computer and mobile devices, the research in image compression has increased significantly. Digital images in their uncompressed form require a large amount of storage space and transmission bandwidth. Image compression reduces the stor...

Due to the increasing requirements for transmission of images in computer, mobile environments, the research in the field of image compression has increased significantly. Image compression plays a crucial role in digital image processing, it is also very important for efficient transmission and storage of images. When we compute the number of bits per image resulting from typical sampling rate...

In many practical scenarios, image encryption has to be conducted prior to image compression. This has led to problem of how to design a pair of image encryption and compression algorithms such that compressing the encrypted images can still be efficiently performed. In this paper, we design highly efficient image encryption-then-compression (ETC) system, where both the lossy and lossless compr...

2 Department of Applied Mathematics, Chhatrapati Shivaji Institute of Technology, Durg (C.G.), (India) ABSTRACT Image compression is a process of reducing or eliminating all redundant or irrelevant data. The new compression technique called Fractal image compression. This scheme works by partitioning an image into blocks and using contractive mapping to map each range blocks to its matched doma...

The recent development in the digital electronics and computer engineering has resulted in generation of large amount of data in the digital form. High resolution images are required in many fields such as remote sensing, criminal investigation, medical imaging etc. This motivates the need of compression of the size of the data. The main objective of the present study is to obtain better qualit...

This paper addresses the area of image compression as it is applicable to various fields of image processing. On the basis of evaluating and analyzing the current image compression techniques this paper presents the Principal Component Analysis approach applied to image compression. PCA approach is implemented in two ways – PCA Statistical Approach & PCA Neural Network Approach. It also include...

The advantages of digitizing medical radiographs are twofold. First, they can be transmitted via networks, second, they may be archived on appropriate storage devices. Modern equipment for medical imaging already provides digital images, therefore post-digitization can be discarded. Depending on medical investigation the amount of image data to be stored can be very large. As a consequence digi...

This paper presents a novel analysis and synthesis approach to image compression. In the encoding stage, an analysis scheme is used to selectively encode visually important features of an image to achieve computational and compression efficiencies, and in the decoding stage, a synthesis method is employed to reconstruct the full image from the selectively encoded image features. By integrating ...