In this work, we present a comparison between different techniques of image compression. First, the image is divided in blocks which are organized according to a certain scan. Later, several compression techniques are applied, combined or alone. Such techniques are: wavelets (Haar's basis), Karhunen-Loève Transform, etc. Simulations show that the combined versions are the best, with minor Mean ...

In recent times the integration of video, audio and data in telecommunication devices has revolutionized the world communication. It has proven to be useful to almost every industry: the corporate world, entertainment industry, multimedia, education and even many household domestic appliances. The major problems encountered with these applications are the high data rates, high bandwidth and lar...

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract -In this paper a new image compression technique is presented using Singular value decomposition (SVD) and wavelet difference reduction (WDR). In this we have done hybridization of these two techniques in order to achieve higher compression rate an...

Spend your time even for only few minutes to read a book. Reading a book will never reduce and waste your time to be useless. Reading, for some people become a need that is to do every day such as spending time for eating. Now, what about you? Do you like to read a book? Now, we will show you a new book enPDFd lossy image compression domain decomposition based algorithms that can be a new way t...

The world creates and feeds on huge chunks of storage space containing multimedia. Most part of this belongs to images. As technology is constantly growing, the sizes and the pixel density of these images are getting enhanced. Hence, efficient techniques are required to maintain their size and reusability. For example, in the field of medicine, highly detailed images requires storage of large q...

Digital image in raw form require a large amount of storage capacity. Due to limited bandwidth and storage capacity, images must be compressed before storing and transmitting. Image compression means reducing the size of the graphics file, without compromising on its quality. This paper entails the survey of various image compression techniques and highlights the important features of each meth...

Reducing image files will be an important procedure when we transmit files across networks (Wiseman, Schwan & Widener, 2004). or when we would like to archive libraries. Usually, JPEG can remove the less important data before the compression; hence JPEG will be able to compress images meaningfully, which produces a huge difference in the transmission time and the disk space. The processing time...

This paper presents an integer discrete cosine transform (IntDCT) with only dyadic values such as k/2n (k, n ∈ N). Although some conventional IntDCTs have been proposed, they are not suitable for lossless-to-lossy image coding in low-bit-word-length (coefficients) due to the degradation of the frequency decomposition performance in the system. First, the proposed M-channel lossless Walsh-Hadama...

We propose a new approach to the problem of optimizing autoencoders for lossy image compression. New media formats, changing hardware technology, as well as diverse requirements and content types create a need for compression algorithms which are more flexible than existing codecs. Autoencoders have the potential to address this need, but are difficult to optimize directly due to the inherent n...

This paper presents a novel method for representing three-dimensional (3D) range data within regular two-dimensional (2D) images using multiwavelength encoding. These 2D images can then be further compressed using traditional lossless (e.g., PNG) or lossy (e.g., JPEG) image compression techniques. Current 3D range data compression methods require significant filtering to reduce lossy compressio...