Pemampatan Data Citra Menggunakan Metode Transformasi Wavelet

Abstract

The image is a two-dimensional array or a matrix that is composed of pixels. More large the image more great space required to store and transmit that image. In addition a large image will take a long time to transmit. This is what underlies the need for an effort to compress the image, so it can be stored in a smaller size.

The nature of the use of compression is lossy, in which the recovery process is not exactly the same image with the original image. Wavelet method is one of the methods used in the initial processing of image data compression is lossy where image data is transformed into a series of other data with a large amount of information packaged into a small number of coefficients of transformation, but it also can reduce the excess data and connectedness between pixels with neighboring pixels

To get the compressed image done some important processes which include: selection of color space, transformation, quantization, coding, and last process is saving the data into the form of a compressed files. As for image recovery, the process is carried out: reading the header files and reading the contents of the file, reversing the code, reversing the transformation. And image restoration results will be displayed on the monitor.