Abstract

The Integer Cosine Transform (ICT) presents a performance close to Discrete Cosine Transform (DCT) with a reduced computational complexity. The ICT kernel is integer-based, so computation only requires adding and shifting operations. This work presents a parallel-pipelined architecture of an 8/spl times/8 forward two-dimensional (2-D) ICT(10,9,6,2,3,1) processor for image encoding. A fully pipelined row-column decomposition method based on two one-dimensional (1-D) ICTs and a transpose buffer based on D-type flip-flops is used. The main characteristics of 1-D ICT architecture are high throughput, parallel processing, reduced internal storage, and 100% efficiency in computational elements. The arithmetic units are distributed and are made up of adders/subtractors operating at half the frequency of the input data rate. In this transform, the truncation and rounding errors are only introduced at the final normalization stage. The normalization coefficient word length of 18-bit (13-bit effective) has been established using the requirements of IEEE standard 1180-1990 as a reference. The processor has been implemented using standard cell design methodology in 0.35-/spl mu/m CMOS technology, measures 9.3 mm/sup 2/, and contains 12.4 k gates. The maximum frequency is 300 MHz with a latency of 214 cycles (260 cycles with normalization).

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

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.