DocumentCode
3476083
Title
Low power DCT using highly scalable multipliers
Author
Castellanos, Ricardo ; Kalva, Hari ; Shankar, Ravi
Author_Institution
Dept. of Comput. Sci. & Eng., Florida Atlantic Univ., Boca Raton, FL, USA
fYear
2009
fDate
7-10 Nov. 2009
Firstpage
1925
Lastpage
1928
Abstract
Low power consumption in computing systems is a key requirement for devices such as cell phones and cameras. In this paper we present a low power DCT implementation using a highly scalable multiplier. This paper focuses on IDCT with playback applications such as digital photo displays. The proposed solution exploits the fact that the size of the multiplications varies per stage in a multistage IDCT implementation and configuring multipliers to match the needs of each stage saves power. Results are compared with Wallace and array multipliers. We show that using a scalable multiplier and dynamically reconfiguring the width of the multiplier leads to significant power savings (over 72%) with negligible degradation in decoded image quality.
Keywords
decoding; discrete cosine transforms; image coding; Wallace multipliers; array multipliers; camera; cell phones; digital photo displays; discrete cosine transforms; highly scalable multipliers; image quality decoding; low power DCT; low power consumption; Decoding; Discrete cosine transforms; Discrete transforms; Energy consumption; Image storage; Matrix decomposition; Quantization; Signal processing algorithms; Sparse matrices; Video compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location
Cairo
ISSN
1522-4880
Print_ISBN
978-1-4244-5653-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2009.5413517
Filename
5413517
Link To Document