Most present prediction-based image compression techniques take advantage of either intraor inter-image correlation or both to de-correlate images. These decorrelated images usually contain reduced information content. Consequently, higher compression ratios may be obtained from these de-correlated images. This paper studies the relationship between image correlation and the resultant informati...

1 Abstract The wavelet transform shows a lot of promise in image compression. Very high compression rates are achieved by using wavelet transform prior to quan-tization and entropy coding. This report discusses how wavelets can be used in image compression. This report handles the problem from an engineer's perspective. I am conndent that this report can be used for writing a primitive wavelet ...

SPIHT (Set Partitioning In hierachical trees), being an efficient coding method for wavelet coefficients, has acquired more and more widely application, especially in image/video compression fields. But, conventional SPHIT have some obvious limitions. For example, when for the color image compression, polarmetric SAR image compression, or multispectrum image compression and other multi-channel ...

Image compression is one of the most important applications Digital Image Processing. Advanced medical imaging requires storage of large quantities of digitized clinical data. Due to the constrained bandwidth and storage capacity, however, a medical image must be compressed before transmission and storage. There are two types of compression methods, lossless and lossy. In Lossless compression m...

In recent past, vector quantization has been observed as an efficient technique for image compression. In general, image compression reduces the number bits required to represent an image. The main significance of image compression is that the quality of the image is preserved. This in turn increases the storage space and thereby the volume of the data that can be stored. Image compression is t...

The main process involves in medical image compression algorithms is encoding information using lesser amount of bits than the original representation used. Image compression is useful as it reduces the load of expensive resources and their consumption. These resources include transmission bandwidth, disk space etc. Compression may be lossy or lossless. But we avoided the concept of lossy compr...

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...

Fractal image compression is a relatively recent image compression method which exploits similarities in different parts of the image. The basic idea is to represent an image by fractals and each of which is the fixed point of an Iterated Function System (IFS). Therefore, an input image can be represented by a series of IFS codes rather than pixels. In this way, an impressive compression ratio ...