Abstract
Image-related interactions are forming an increasingly large part of modern communications, bringing the need for efficient and effective compression. Image compression is important for effective storage and transmission of images. Image processing applications are increasingly being done on embedded systems because image processing involves high computation and data requirements. This paper work describes the implementation of indexing of vectors quantized using lattice structure on TMS320C6713 Digital Signal Processor board. In this work for quantization of vectors D 4 lattice structure is selected. The proposed indexing technique is based on direct assignment of indices to the vectors. Generation of the codebook and the indexing of leader are not required in this method . The code is written in C in Code Composer Studio (CCS) in order to program the DSP processor. With the help of profile statistic available in CCS, statistical analysis is also carried out.
Highlights
Digital images are full of large amount of data
For storage and transmission over channels at high efficiency, a high quality, highly compressive algorithm for image compression is at demand
Despite the existence of image compression standards such as JPEG and JPEG 2000, image compression is still subject to a worldwide research effort
Summary
Digital images are full of large amount of data. An image with high quality implies that the associated file size is large. For storage and transmission over channels at high efficiency, a high quality, highly compressive algorithm for image compression is at demand. Image compression is used to minimize the amount of memory needed to represent an image. Images often require large number of bits to represent them, and if the image needs to be transmitted or stored, it is impractical to do so without somehow reducing the number of bits. TV and fax machines are both examples of image transmission, and digital video players and web pictures are examples of image storage. By using data compression techniques, it is possible to remove some of the redundant information contained in the images, requiring less storage space and less time to transmit
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
