Embedded wavelet codes are very sensitive to channel noise because a single bit error can lead to an irreversible loss of synchronization between the encoder and the decoder. Sherwood and Zeger protected a zero-tree based embedded wavelet code sent through a memoryless noisy channel by using cyclic redundancy detection codes (CRC) and channel correction codes. Chande and Farvardin proposed an o...

The information from patient’s body is captured as medical images and is used for surgical and diagnostic purposes. Compression of medical images is essential for storage and transmission of patient's data. Due to high impact of details in medical images, lossless compression is preferred. This paper presents colour medical image compression using Curvelet transform with lifting and Huffman cod...

J urgen Schmidhuber IDSIA Corso Elvezia 36 6900 Lugano, Switzerland juergen~idsia.ch This paper reveals a previously ignored connection between two important fields: regularization and independent component analysis (ICA). We show that at least one representative of a broad class of algorithms (regularizers that reduce network complexity) extracts independent features as a by-product. This algo...

Region-based video coding schemes employed in MPEG-4 is also promising for still image coding applications where images contain a number of objects that can be encoded at different bit rates, such as compression of medical images for archiving and tranmission. Motivated by this fact, in this paper we investigate multi-region and multi-quality (MRMQ) coding based on zerotree wavelet coders. We p...

In this paper proposes an efficient region of interest (ROI) technique and Discrete wavelet Transform (DWT), which is based on attempting to preserve the important image characteristics and to achieve good compression ratio. In medical images only a small portion of an image is used to diagnose. That spatial region is segregated to the end users by using “Region Of Interest” (ROI). Improvement ...

This paper presents a vector quantization system that limits the maximum distortion introduced to a pre-selected threshold value. This system uses a recently introduced variation of the L 1 distortion measure that attempts to minimize the occurrences of quantization errors above a preselected threshold. The vectors are rst coded using the new distortion measure. The quantization error vectors i...

Region Based Coding (RBC) technique is significant for medical image compression and transmission. Lossless compression schemes with secure transmission play a key role in telemedicine applications that help in accurate diagnosis and research. In this paper we propose a lossless compression approach based on 3D integer wavelet transform, 3D SPIHT algorithm of MR images. The use of lifting schem...

We propose a real-time optimization algorithm that selects an appropriate channel code for hybrid systems that combine packetization of an embedded wavelet bitstream into independently decodable packets and forward error correction using a family of channel codes with error detection and error correction capability. Such systems are very powerful for the transmission of audio, images, and video...

Region Based Coding (RBC) technique is significant for medical image compression and transmission. Lossless compression schemes with secure transmission play a key role in telemedicine applications that help in accurate diagnosis and research. In this paper we propose a lossless compression approach based on 3D integer wavelet transform, 3D SPIHT algorithm of MR images. The use of lifting schem...

In this paper, a feature-based classi ed vector quantization (FCVQ) algorithm and VLSI implementation of the classi er are presented. The FCVQ technique exploits the characteristics of discrete cosine transform (DCT) and the concepts of block truncation coding (BTC) to simplify the classi cation and preserve the edge information e ciently. During the classi cation, an input block is classi ed a...