Info Oxy
progressive in terms of resolution progressive in terms of resolution Fig. 7.15 a A two-level DWT with 16 code-blocks, b Bitstream formations. Note the letters S, M, and C in b stand for the bitstream generated during significance propagation pass, magnitude refinement pass, and cleanup pass, respectively. Number of leading zero bit-planes, which is used to identify the actual number of bit-planes for coefficients from the code-block. A second Tag Tree is used to encode this information....
M A
Fig. 2.5 Subinterval assignment in QM-coder. In QM-coder, the value of A is always assumed to maintain close to 1. As a result, the subintervals of LPS and MPS can be approximated to AQ Q and A Q A Q respectively and hence the multiplication is avoided. The subinterval of LPS is placed above the subinterval of MPS as shown in Figure 2.5. Accordingly, the MPS and LPS are assigned the subintervals 0, A Q and A Q, A respectively. Actually the value of A is always maintained within the range 1.5 gt...
84 Example
In this section, we provide an example of JPEG2000 compressed code-stream with JP2 format. The image used for this example is a 24-bit RGB three-component image with width and height equal to 40 x 30 28 h x lE . As we can see, all six required boxes are present in the JP2 file and two optional boxes Resolution box and Capture Resolution box are also included just for reference. The JP2 box always starts with a 4-byte box length followed by a 4-byte box type. For example, the Resolution box has...
15 A Data Compression Model
A model of a typical data compression system can be described using the block diagram shown in Figure 1.2. A data compression system mainly consists of three major steps removal or reduction in data redundancy, reduction in entropy, and entropy encoding. The redundancy in data may appear in different forms. For example, the neighboring pixels in a typical image are very much spatially correlated to each other. By correlation we mean that the pixel values are very similar in the non-edge smooth...
Preface
The growing demand for interactive multimedia technologies, in various application domains in this era of wireless and Internet communication, necessitated a number of desirable properties to be included in image and video compression algorithms. Accordingly, current and future generation image compression algorithms should not only demonstrate state-of-the-art performance, it should also provide desirable functionalities such as progressive transmission in terms of image fidelity as well as...