Abstract: Image compression is method to get rid of the redundant info from the image in order that solely essential info may be keep to scale back the storage size, transmission information measure and coordinated universal time. The essential info is extracted by varied transforms techniques specified it may be reconstructed while not losing quality and data of the image. the aim of compression is that the original massive image with less bytes and transmission and needed with smart image recovery quality. The event of transmission and digital imaging has junction rectifier to high amount of knowledge needed to represent trendy mental imagery. this needs massive disc space for storage, and while for transmission over laptop networks, and these 2 are comparatively pricy. These factors prove the necessity for pictures compression. Compression addresses the matter of reducing the quantity of house needed to represent a digital image yielding a compact illustration of a picture, and thereby reducing the image storage, coordinated universal time needs. The key plan here is to get rid of redundancy {of data of knowledge of info} bestowed among a picture to scale back its size while not moving the essential information of it.

Keywords: Lossless Image Compression; Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), compression ratio (CR), peak signal to noise ratio (PSNR).