Абстрактный

IMAGE COMPRESSION USING HYBRID TRANSFORM TECHNIQUE

Nikita Bansal, Sanjay Kumar Dubey

Digital images in their uncompressed form require an enormous amount of storage capacity which in turn needs large transmission bandwidth for the transmission over the network. Image compression reduces the storage space of image and also maintains the quality of image. There are various compression techniques available in literature. Discrete Cosine Transform (DCT) is one of the widely used image compression method and the Discrete Wavelet Transform (DWT) is another which provides improvements in the quality of the picture. This research paper proposed a scheme for image compression using DCT and DWT named as hybrid compression technique. DCT has high energy compaction property and often require less computational resources and DWT is multi-resolution transformation. The goal is to achieve higher compression rates with preserving the quality of the reconstructed image.