DESIGN OF ENHANCED HALF RIPPLE CARRY ADDER FOR VLSI IMPLEMENTATION OF TWO- DIMENSIONAL DISCRETEWAVELET TRANSFORM
DOI:
https://doi.org/10.20894/IJMSR.117.008.001.006Keywords:
Binary to Excess 1 Conversion based Carry Select Adder, Carry Select Adder, Hybrid and lifting based Discrete Wavelet Transformation Technique, Row and Column Wise Compression, Very Large Scale Integration.Abstract
This paper presents a systematic high speed VLSI implementation of the discrete wavelet transform (DWT) based on hardware-efficient parallel FIR filter structures. High- speed 2-D DWT with computation time as low as N2/12 can be easily achieved for an N X N image with controlled increase of hardware cost. Compared with recently published 2-D DWT architectures with computation time of N2/3 and 2N2/3, the proposed designs can also save a large amount of multipliers and/or storage elements. In proposed DWT models, adders are recognized as high potential than other components. In order to improve the efficiency of DWT process, an efficient adder called “Enhanced Half-Ripple Carry Adder (EHRCA)” has been designed in this research work. Proposed EHRCA circuit offers10.71% improvements in hardware slice utilization, 11.78% improvements in total power consumption than traditional Binary to Excess 1 Conversion (BEC) based Square Root Carry Select Adder (SQRT CSLA).
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2. Devangkumar S, Vithlani CH. VLSI-oriented lossy image compressionapproachusingDA-based2D-discretewavelet.Int ArabJInfTechnol.2014;11(1):59–68.
3. Lee D-U, Kim L-K, VillasenorJD. Precision-aware self- quantizing hardware architectures for the discrete wavelet transform. IEEE Transactions on Image Processing. 2012; 21(2):768–77.
4. ManjuP, Rohil H. Optimized image steganography using Discrete Wavelet Transform (DWT). IJRDET. 2014; 2(2):75–81.
5. Mohanty BK, Meher PK. Memory-efficient high-speed convolution-based generic structure for multilevel 2-D DWT. IEEE Transactions on Circuits and Systems for VideoTechnology.2013;23(2):353–63.
6. Monika R, VijA. Image compression using discrete haar wavelettransforms.IJEIT.2014;3(12):47–51.
7. Nahvi N, Sharma OC. Implementation of discrete wavelet transform for multimodal medical image fusion. IJETAE. 2014;4(7):312–7.
8. NanammalV, Abirami BM, VenugopalakrishnanJ. VLSI based desgin of an efficient hybrid water marking scheme for multimedia content protection. Indian Journal of ScienceandTechnology.2015;8(19).
9. VishwanathM, Michael RO, Irwin MJ. VLSI architec- turesforthediscretewavelettransform.IEEETransactionsonCircuitsandSystemsII:Anal ogandDigitalSignalProcessing. 1995;42(5):305–16.
10. Zhang C, Wang C, Ahmad MO. A pipeline VLSI archi- tecture for fast computation of the 2-D discrete wavelet transform. IEEE Transactions on Circuits and Systems I: Regular Papers. 2012;59(8):1775–85.
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