Comparative Analysis of Wavelet Transform and Wavelet Packet Transform for Image Compression at Decomposition Level 2
Methods of digital image compression have been the subject of research over the past decade. Discrete Wavelet Transform (DWT) and Wavelet Packet Transform (WPT) have emerged as a popular technique for image compression. This paper compares Compression Ratio, Energy Ratio, Mean Square Error, and Peak Signal to Noise Ratio at different Threshold values for decomposition level 2 both for DWT and WPT. Visual communication in the area of multimedia, medical image, remote sensing image, education, communication etc. is becoming increasingly popular. Image is one of the most important media of information contributing to multimedia. Digital images are highly voluminous and consume very important resources of the system.