JPEG image compression Group 7 Arvind Babel (y07uc024) Nikhil Agarwal (y08uc086)

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Presentation transcript:

JPEG image compression Group 7 Arvind Babel (y07uc024) Nikhil Agarwal (y08uc086)

Aim: Understanding and Implementing the JPEG compression on images. The degree of compression can be adjusted, allowing a selectable tradeoff between storage size and image quality. JPEG typically achieves 10:1 compression with little perceptible loss in image quality. Applications: – To store images in web applications – To reduce the disk space usage – Used for image data transfer to decrease the network traffic Input: An uncompressed image. Output: A compressed image using JPEG compression method.

Approach used: We take the following steps to compress the image. -Color space transformation -Down sampling -Block splitting -Quantization -Entropy coding -Compression Challenges: -It’s a lossy compression. How to minimize this loss of information. -Achieving good compression in line drawings and other textual or iconic graphics. -Usage in scientific and medical application is very difficult.

DeadlineTask 26/10/2010Project proposal 28/10/2010Project finalization 02/11/2010Understanding the algorithm 05/11/2010Down sampling and block splitting 08/11/2010Entropy coding 09/11/2010Encoding 10/11/2010Interim presentation 16/11/2010Experimentation and observation 20/11/2010Final testing and results. Project timeline :