Compression of Two Dimensional Nonlinear Functions using Two Dimensional Wavelet Transforms
|Title||Compression of Two Dimensional Nonlinear Functions using Two Dimensional Wavelet Transforms|
|Publication Type||Journal Article|
|Year of Publication||2016|
|Authors||Jagatheswari G.K, Murugesan R., Honnavar GV|
|Journal||Mathematical Sciences International Research Journal|
|Keywords||Department of Science and Humanities|
Wavelet transforms play an important role in image compression techniques that developed recently. The proposed paper consists of two dimensional nonlinear functions which are approximated and compressed using discrete multilevel 2-D wavelet transforms like Haar, Daubechies, Coiflet and Symlets. The performance of the above mentioned wavelets is synthesized in terms of experimental results which demonstrate that Haar wavelets provide high compression ratio and high peak to signal ratio, which are best suited for compressing nonlinear functions.