Large Data handling Technique for Compression Pre-coder using Scalable Algorithm
Volume 1 Issue 1 2007
Download| Author(s): | Muhammad Kamran, Shi Feng, Ji Weixing |
|---|---|
| Abstract | This paper presents the procedure of handling and testing digital design module used for the image data separation using averaging scalable method. The design will incorporate all constraints and after satisfactory mathematical interpretation, source code of algorithm is developed in VHDL. Afterwards, pre and post simulations will be run using MODEL SIM to verify proper design operation. The proposed work is the part of scalable image compression pre coder used for the compression of image. This paper explains the effective solution to deal with large input data which can not be handled properly by conventional design procedure. In this research area or DSP applications, data information is very large in number and for hardware verification required to be transmitted at reasonably high speed without any considerable loss. The problem of large data input vectors is encountered in different applications and needs special attention for rectification while designing the chip. For this purpose, simulated large data is required to be generated representing the actual input video data. Actual video data may be of any image standards like JPEG, MPEG or H.26X. This paper presents the architecture of pre coder chip and the results of the work carried out till RAM module interfaced between buffer control and pre coder modules with all limitations and their corresponding solutions. |
| Keywords | Layered scheme, large data; data file call; vhdl code; ROM data file |
| Year | 2007 |
| Volume | 1 |
| Issue | 1 |
| Type | Research paper, manuscript, article |
| Journal Name | Journal of Information & Communication Technology | Publisher Name | ILMA University | Jel Classification | - | DOI | - | ISSN no (E, Electronic) | 2075-7239 | ISSN no (P, Print) | 2415-0169 | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | https://jict.ilmauniversity.edu.pk/journal/jict/1.1/4.pdf | Page | 42-50 |