Transform_coding_2005 - Lecture notes of Image Compression...

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Lecture notes of Image Compression and Video Compression 2. Transform Coding
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#2 Topics z Introduction to Image Compression z Transform Coding z Subband Coding, Filter Banks z Haar Wavelet Transform z SPIHT, EZW, JPEG 2000 z Motion Compensation z Wireless Video Compression
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#3 Transform Coding z Why transform Coding? z Purpose of transformation is to convert the data into a form where compression is easier. This transformation will transform the pixels which are correlated into a representation where they are decorrelated. The new values are usually smaller on average than the original values. The net effect is to reduce the redundancy of representation. z For lossy compression, the transform coefficients can now be quantized according to their statistical properties, producing a much compressed representation of the original image data.
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