Complex Contourlet Transform Domain Based Image Compression

Abstract

In most of the important applications like transmission and storage purposes, the important technique used worldwide is image compression method. In general, the digital image contains an immense size of information, and it is an essential need to remove the data or information before transmission and storage. This work process the image compression method using the Raspberry Pi processor. The processor helps to retain a huge amount of image or data information with better image quality. Raspberry Pi supercomputer permits the execution with help of contourlet (families) transform (CT) using python for image compression technique. The digital still images are focussed and captured at the given time using a Web camera that is connected to a Raspberry Pi supercomputer at an inaccessible place. Further, the image compression method ensures that storage capacity is good in the proposed method with good memory compatibility. Then, the target host receives the compressed image and displays the decompressed output. The image compression method is performed by using the complex contourlet transform, it quantizes the transformed matrix, and then performs the encoding process. Finally, the inverse complex contourlet transform is used for image decompression method in order to retrieve the image back.