Image compression using complex wavelet transform (CWT) with custom thresholding
C. Somasundar Reddy, C. Ravindra Murthy · 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) · 2017
One of the main disadvantages of any communication system is “channel bandwidth” and “noise”. This paper deals with the former one (i.e. channel bandwidth); the real time images from any source occupy large amount space in any storage device. Hence it consumes maximum bandwidth for transmitting it, there are so many methods to reduce the image size and hence the bandwidth of the signal. This paper deals with wavelet based compression methods. Discrete Wavelet Transform is powerful tool for analyzing the signals, with the help of a thresholding function it'll be more useful in compression; this method is considered as an existing method. This method has some disadvantages like selectivity and shift invariance, so a much better method is proposed. In the proposed method complex wavelets were introduced with custom thresholding for reducing the size of images with less mean square error (MSE) and peak-signal to noise ratio (PSNR).