Work place: MPSTME, Department of Computer Engineering, NMIMS University, Mumbai, India
Research Interests: Database Management System, Image Processing, Operating Systems, Computer systems and computational processes
Ms.Prachi Natu has received M.E. (Computer) degree from Mumbai University in 2011. Currently pursuing Ph.D. from NMIMS University. She has 08 years of experience in teaching. Currently working as Assistant Professor in Department of Computer Engineering at Mukesh Patel School of Technology, Management and Engineering.Vile Parle (Mumbai). Her areas of interest are Image Processing, Database Management Systems and Operating Systems. She has 18 papers in International Conferences/journal to her credit.
DOI: https://doi.org/10.5815/ijigsp.2014.04.05, Pub. Date: 8 Mar. 2014
In this paper image compression using hybrid wavelet transform is proposed. Hybrid wavelet transform matrix is formed using two component orthogonal transforms. One is base transform which contributes to global features of an image and another transform contributes to local features. Here base transform is varied to observe its effect on image quality at different compression ratios. Different transforms like Discrete Kekre Transform (DKT), Walsh, Real-DFT, Sine, Hartley and Slant transform are chosen as base transforms. They are combined with Discrete Cosine Transform (DCT) that contributes to local features of an image. Sizes of component orthogonal transforms are varied as 16-16, 32-8 and 64-4 to generate hybrid wavelet transform of size 256x256. Results of different combinations are compared and it has been observed that, DKT as a base transform combined with DCT gives better results for size 16x16 of both component transforms.[...] Read more.
Subscribe to receive issue release notifications and newsletters from MECS Press journals