Image Compression is the application of Data Compression on digital image. The techniques used for the image compression are broadly divided into lossy and lossless compression techniques. One of the lossless compression techniques is Huffman encoding. In this paper, the new method MH Encoding (Median Filter + Huffman Encoding) is used to compress the images. Here the images are preprocessed us...

Textual image compression is a method of both lossy and lossless image compression that is particularly effective for images containing repeated sub-images, notably pages of text (Mohiuddin et al., 1984; Witten et al., 1992). The process comprises three main steps: Extracting all the characters from an image; Building a library that contains one representative for each character class; Compress...

Fractal image coding has the advantage of higher compression ratio, but is a lossy compression scheme. The encoding procedure consists of dividing the image into range blocks and domain blocks and then it takes a range block and matches it with the domain block. The image is encoded by partitioning the domain block and using Affine transformation to achieve fractal compression. The image is rec...

The research in the field of image compression is driven by the ever increasing bandwidth requirements for transmission of images in computer, mobile and internet environments. In this context, the survey summarizes the major image compression methods spanning across lossy and lossless image compression techniques and explains how the JPEG and JPEG2000 image compression techniques are distinct ...

| Images take lot of computer space; in many practical situations, we cannot store all original images, we have to use compression. Moreover, in many such situations , compression ratio provided by even the best lossless compression is not suucient, so we have to use lossy compression. In a lossy compression, the reconstructed image e I is, in general, diierent from the original image I. There ...

Data has a fairly important meaning, because it contains the information needed. Besides being important, process of data exchange and storage certainly requires space high costs. For this reason, compression is an interesting topic for continuous research. The success previous research in obtaining optimal compression, will be more interesting, if tested on Lossless Lossy Compression Methods, ...

Compression of encrypted data draws much attention in recent years due to the security concerns in a service-oriented environment such as cloud computing. We propose a scalable lossy compression scheme for images having their pixel value encrypted with a standard stream cipher. The encrypted data are simply compressed by transmitting a uniformly subsampled portion of the encrypted data and some...

Hyperspectral image compression has received considerable interest in recent years due to the enormous data volumes collected by imaging spectrometers for Earth Observation. JPEG2000 is an important technique for data compression, which has been successfully used in the context of hyperspectral image compression, either in lossless and lossy fashion. Due to the increasing spatial, spectral, and...

Image compression helps in storing the transmitted data in proficient way by decreasing its redundancy. This technique helps in transferring more digital or multimedia data over internet as it increases the storage space. It is important to maintain the image quality even if it is compressed to certain extent. Depends upon this the image compression is classified into two categories: lossy and ...