Image compression using Hybrid DWT & DCT Presented by: Suchitra Shrestha Department of Electrical and Computer Engineering Date: 2008/10/09

Introduction(1) Why Image Compression? Digital images in their raw form require an enormous amount of memory To reduce Redundancy To increase transmission bandwidth To reduce storage capacity

Introduction (2) Techniques Discrete Cosine Transform (DCT) “blocking artifacts” occurring at block boundaries particularly at low bit rates Discrete Wavelet Transform (DWT) image is transformed &compressed as a single data object rather than block-by-block uniform distribution of compression error across the entire image  can provide better image quality

Motivations and Objectives Most of the previous papers consider either DCT or DWT Application of hybrid DWT-DCT transform algorithm combined transforms compensate for the drawbacks of each other result in an effective image processing. improved Peak Signal to Noise Ratio (PSNR)

Methodology Application of a two dimensional DWT over the image of size 16 by 16 Quantization DCT Inverse the process PSNR Comparison to demonstrate the performance of proposed algorithm Application of the proposed algorithm in applications Medical imaging Water marking Tele-medicine

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