Data compression which can be lossy or lossless is required to decrease the storage requirement and better data transfer rate. One of the best image compression techniques is using wavelet transform. It is comparatively new and has many advantages over others. Wavelet transform uses a large variety of wavelets for decomposition of images. The state of the art coding techniques like EZW, SPIHT a...

In this paper, an enhanced version of Embedded zerotree wavelet (EZW) image coding algorithm is proposed, referred to as EZW-SC. By exploiting a new principle that relies on subband classification concept, the allows prediction insignificant subbands at early passes, along with use improved significance map. This reduces redundancy symbols, speeds up process and improves significant coefficient...

Embedded block coding with optimized truncation (EBCOT) is a key algorithm in digital cinema (DC) distribution system. Though several high speed EBCOT architectures exist, all are not capable of meeting the DC specifications. With the augmentation in multimedia technology, demand for high speed real time image compression system has also increased. JPEG2000 is a relatively new image compression...

Embedded Block Coding with Optimal Truncation (EBCOT) is the fundamental and computationally very demanding part of the compression process of JPEG2000 image compression standard. EBCOT itself consists of two tiers. In Tier-1, image samples are compressed using context modeling and arithmetic coding. Resulting bit-stream is further formated and truncated in Tier-2. JPEG2000 has a number of appl...

A variety of new and powerful algorithms have been developed for image compression over the years. Among them the wavelet-based image compression schemes have gained much popularity due to their overlapping nature which reduces the blocking artifacts that are common phenomena in JPEG compression and multiresolution character which leads to superior energy compaction with high quality reconstruc...

Electroencephalogram (EEG) is a common technique used to monitor the electrical activities of the human brain. In some applications, EEG is recorded for a long time. Since it is time consuming to analyze this EEG, further processing requires a lossless compression of this long term EEG. This paper addresses effective compression of EEG using EBCOT algorithm. EBCOT is an advance technique for im...

This paper introduces a fast algorithm for microarray image segmentation and an object-based coding technique to compress the segmented DNA microarray images using modified embedded block coding with optimized truncation (EBCOT) [1]. Microarray images are segmented into foreground and background by a modified Mann-Whitney test-based algorithm, which is much faster than Chen et al.’s original on...

centroid, 19, 25, 30 circular displacement, 102 code convolutional, 36, 58 Elias, 256 Gallager-vanVoorhis, 255 Golomb, 218, 254 Golomb–Rice, 188 Levenstein, 256 monotonic, 254 prefix-free, 239 terminated convolutional, 37 trellis, 38 unary, 254 zero-tail terminated convolutional, 37 codebook, 26, 27 adaptive, 154 adaptive gain, 155 stochastic, 156 stochastic gain, 156 codec ACELP, 158 code exci...

Wavelets offer an elegant technique for representing the levels of details present in an image. When an image is decomposed using wavelets, the high pass component carry less information, and vice-versa. The possibility of elimination of the high pass components gives higher compression ratio in the case of wavelet based image compression. To achieve higher compression ratio, various coding sch...