Image Compression Using Wavelets
Image compression is a fast paced and dynamically changing fi eld with many di fferent varieties of compression methods available. Wavelet transform techniques currently provide a promising approach to image compression and concentrate on achieving higher compression ratio without sacri ficing the quality of the image. In image compression, the choice of wavelet depends on the image content. The quantitative measures Compression Ratio(CR), Bit-Per-Pixel(BPP) and perceptual quality measures Mean Square Error(MSE) and Peak Signal To Noise Ratio(PSNR) are calculated for di fferent images with di fferent wavelets and comparative study has been made.
Keywords: Discrete Wavelet Transform (DWT), Bit-Per-Pixel (BPP), Mean Square Error (MSE), Peak Signal To Noise Ratio (PSNR), Compression Ratio (CR)
Download Full-Text
ABOUT THE AUTHORS
Tarlok Singh
Tarlok Singh is working as SRF(CSIR) in the Department of Mathematics, Guru Nanak Dev University, Amritsar. He received his postgraduate degree in M.Sc(Mathematics) in 2008 from the same university campus. His area of interest is applications of Wavelets to real world problems.
Pooja
Pooja is working as JRF(UGC) in the Department of Mathematics, Guru Nanak Dev University, Amritsar. She received her postgraduate degree in M.Sc(Mathematics) in 2011 from the same university campus. Her area of interest is image compression and Data Mining.
Pammy Manchanda
Prof. Pammy Manchanda is working as senior Professor in the Department of Mathematics, Guru Nanak Dev University, Amritsar. She teaches undergraduate and postgraduate courses in addition to providing research guidance to Ph.D scholars. Her major research interest are Wavelet Analysis,Image Compression, Inverse Problems.
Tarlok Singh
Tarlok Singh is working as SRF(CSIR) in the Department of Mathematics, Guru Nanak Dev University, Amritsar. He received his postgraduate degree in M.Sc(Mathematics) in 2008 from the same university campus. His area of interest is applications of Wavelets to real world problems.
Pooja
Pooja is working as JRF(UGC) in the Department of Mathematics, Guru Nanak Dev University, Amritsar. She received her postgraduate degree in M.Sc(Mathematics) in 2011 from the same university campus. Her area of interest is image compression and Data Mining.
Pammy Manchanda
Prof. Pammy Manchanda is working as senior Professor in the Department of Mathematics, Guru Nanak Dev University, Amritsar. She teaches undergraduate and postgraduate courses in addition to providing research guidance to Ph.D scholars. Her major research interest are Wavelet Analysis,Image Compression, Inverse Problems.
