This paper addresses about various image compression techniques. On the basis of analyzing the various image compression techniques this paper presents a survey of existing research papers. In this paper we analyze different types of existing method of image compression. Compression of an image is significantly different then compression of binary raw data. To solve these use different types of...

The authors apply a lossy compression algorithm to medical images, and quantify the quality of the images by the diagnostic performance of radiologists, as well as by traditional signal-to-noise ratios and subjective ratings. The authors' study is unlike previous studies of the effects of lossy compression in that they consider nonbinary detection tasks, simulate actual diagnostic practice inst...

This paper presents an M-channel (M = 2n (n ∈ N)) integer discrete cosine transforms (IntDCTs) based on fast Hartley transform (FHT) for lossy-to-lossless image coding which has image quality scalability from lossy data to lossless data. Many IntDCTs with lifting structures have already been presented to achieve lossy-to-lossless image coding. Recently, an IntDCT based on direct-lifting of DCT/...

We present improvements to a general type of lossless, lossy, and refinement coding of bi-level images [a]. Loss is introduced by flipping pixels. The pixels are coded using arithmetic coding (either QM-coding or that of [l]) of conditional probabilities obtained using a template as is known from JBIG and proposed in JBIG-2 [2]. Our new state-of-the-art results are obtained using the more gener...

The image source-reverse transform is proposed for image structure representation and analysis, which is based on an electro-static analogy. In the proposed transform, the image is taken as the potential field and the virtual source of the image is reversed imitating the Gauss’s law. Region border detection is effectively implemented based on the virtual source representation of the image struc...

In this paper, we propose a hyperspectral image lossy-tolossless compression using three-dimensional Embedded ZeroBlock Coding (3D EZBC) algorithm based on Karhunen-Loève transform (KLT) and wavelet transform (WT). Furthermore, an improved Hao’s matrix factorization method for integer KLT is also presented, which can reduce not only the computational complexity but also the memory requirements....

In this paper we have used a previously reported adaptive filter bank structure for image decomposition and lossy reconstruction. We used a robust 2D windowed LS (LSW) adaptation algorithm to change the filter parameters and to adapt them to the local image properties. To improve the coding gain of the lossy image compression scheme, quantization of the adapted filter parameters has been explor...

DCT-based image/video coding is still popular now. In this paper, a novel embedded image coding scheme based on integer reversible DCT is proposed. It integrates lossy and lossless coding schemes perfectly. The transform is implemented by factoring the float DCT transform matrix into a series of integer reversible transform matrices. We apply the series of matrices to image samples, and encode ...

The JBIG2 standard for lossy and lossless bi-level image coding is a very flexible encoding strategy based on pattern matching techniques. This paper addresses the problem of compressing text images with JBIG2. For text image compression, JBIG2 allows two encoding strategies: SPM and PM&S. We compare in detail the lossless and lossy coding performance using the SPM-based and PM&S-based JBIG2, i...