PURPOSE To assess the effects of two irreversible wavelet-based compression algorithms--Joint Photographic Experts Group (JPEG) 2000 and object-based set partitioning in hierarchical trees (SPIHT)--on the detection of clusters of microcalcifications and masses on digitized mammograms. MATERIALS AND METHODS The use of the images in this retrospective image-collection study was approved by the ...

The medical image processing process is one of the most important areas of research in medical applications in digitized medical information. A medical images have a large sizes. Since the coming of digital medical information, the important challenge is to care for the conduction and requirements of huge data, including medical images. Compression is considered as one of the necessary algorith...

Recent success in wavelet image coding is mainly attributed to recognition of the importance of data organization and representation. Several very competitive wavelet coders have been developed, namely, Shapiro's embedded zerotree wavelets (EZW), Servetto et al.'s morphological representation of wavelet data (MRWD), and Said and Pearlman's set partitioning in hierarchical trees (SPIHT). In this...

-A new method of speech compression using the Modulated Lapped Transform(MLT) and Set Partitioning In Hierarchical Trees (SPIHT) algorithm is proposed in this paper. The improvement in the signal with the application of masking with Psychoacoustic model has also been discussed. The proposed scheme is based on the combination of the Modulated Lapped Transform(MLT) and SPIHT. This paper also desc...

In this paper, we propose a low bit-rate embedded video coding scheme that utilizes a three-dimensional (3D) extension of the set partitioning in hierarchical trees (SPIHT) algorithm which has proved so successful in still image coding. Three-dimensional spatio-temporal orientation trees coupled with powerful SPIHT sorting and reenement renders 3D SPIHT video coder so eecient that it provides c...

— Locating zerotrees in a wavelet transform allows encoding of sets of coef cients with a single symbol. It is an ef cient means of coding if the overhead to identify the locations is small compared to the size of the zerotree sets on the average. It is advantageous in this regard to de ne classes of zerotrees according to the levels from the root until the remainder of the tree contains all ze...

This paper proposes the efficient medical image compression as a combined approach of SPIHT and Lempel Ziv Welch coding. This novel method consists of steps such as splitting the image into bit planes and enhancing each bit plane image using the histogram equalization technique, and then it is decomposed by using 2D Fast wavelet transform and gets compressed by the Set Partitioning in Hierarich...

In this paper, a new approach (scheme) to the analysis of quad-trees in the discrete wavelet spectrum of a digital image is proposed. During the pre-scanning phase, the proposed scheme generates problem-oriented binary codes for the whole set of quad-tree roots (wavelet coefficients) and thereby accumulates information on the significance of respective descendants (wavelet coefficients comprisi...