Implementation of Modified Signed Discrete Cosine Transform
Ajit Kumar Patro1, Deepika Patnaik2, Sudhansu Sekhar Nayak3
1Ajit Kumar Patro, Research Scholar, Centurion University of Technology and Management, Paralakhemundi, Odisha, India.
2Dr. Deepika Patnaik, Associate Professor, Gandhi Institute of Engineering and Technology University, Gunupur, Odisha, India.
3Dr. Sudhansu Sekhar Nayak, Professor, Centurion University of Technology and Management, Paralakhemundi, Odisha, India.
Manuscript received on 25 June 2019 | Revised Manuscript received on 05 July 2019 | Manuscript published on 30 July 2019 | PP: 807-809 | Volume-8 Issue-9, July 2019 | Retrieval Number: H7407068819/19©BEIESP | DOI: 10.35940/ijitee.H7407.078919
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: One of the most important properties of Discrete Cosine Transform (DCT) is high power compaction, due to this property DCT is used for coding, image processing, image compression etc. The DCT application can be speed up by Signed Discrete Cosine Transforms (SDCT). The SDCT is the modification approximates of the DCT. In this paper by proposing signum function we proposed a flow diagram of algorithm and its architecture by considering 8 point transforms.
Index Terms: Discrete Cosine Transform, Signed Discrete Cosine Transform, Modified Signed Discrete Cosine Transform.
Scope of the Article: Discrete Optimization