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CSE300 Multimedia Systems: Student Work
Summary of Functionality of Applet
Color Conversion
- RGB
<--> YCbCr
- RGB
<--> HSI
- RGB
<--> Lab
- RGB
<--> Luv
Transforms
- 8x8 DCT
- 16x16 DCT
- FFT -- implemented seperately
- HAAR Wavelet
- D4 Wavelet
- D8 Wavelet
- COIF6 Wavelet
- FBI Fingerprinting Wavelet
- Bath Balanced Uncertainty Wavelet (BI10_04 n=10 k=.4)
- (trivial to add more wavelets)
Sampling
- None (4:4:4)
- H2V2 (4:2:0)
Quantization and Generation of Bitstreams
- Uniform - Huffman (Entropy) Coder
- JPEG Luminance and Chrominance Table - Huffman (Entropy) Coder
- Threshold - Embedded Zerotree Coder (Quick Implementation)
Statistics
- RGB - NMSE, MSE, SNR, PSNR
- Current Color System - NMSE, MSE, SNR, PSNR
- Percentage of coefficients that are forced to zero
- Bits Per Pixel (BPP)
- Total Bits - compressed image plus code book if necessary
Miscellaneous Items
- User Interface (meets the original goal of an interactive applet that users can just play with this stuff)
- Save feature, allows compressed or restored images to be saved in RGB
- Load feature allows for images to be loaded as RGB or BGR
- Compress only and compress/restore features - "look" at a compressed image
- Interpolated luminance and chrominance tables for 16x16 JPEG quantization (H2V2 Up Sample)
- ZigZag readout algorithm for arbitrary sized blocks
- DCT analysis using different color coord systems. (Quality vs. PSNR)
- Threshold-Varying Analysis for Wavelets (Threshold vs. ZeroPercent D4 case only)
- Wavelet Transforms (optimized for storage/speed) transforms done in-place with limited temp storage
Summary of 15 Wavelet Papers
- Orthonormal Wavelets With Balanced Uncertainty
- A Fast Wavelet Based Karhunen-Loeve Transform
- Optimized Wavelets for Fingerprint Compression
- Space-Frequency Balance in Biorthogonal Wavelets
- On the Space of Orthonormal Wavelets
- Approximate Continuous Wavelet Transform with an Application to Noise Reduction
- Smooth Biorthogonal Wavelets for Applications in Image Compression
- Discrete Finite Variation: A New Measure of Smoothness for the Design of Wavelet Basis
- Design of Linear Phase Cosine Modulated Filter Banks for Subband Image Compression
- Wavelet-Based Signal Processing Using Hidden Markov Models
- Improved Wavelet Denoising via Empirical Wiener Filtering
- Wavelet Based SAR Speckle Reduction and Image Compression
- Wavelet-Based Post-Processing of Low Bit Rate Transform Coded Images
- Enhancement of Decompressed Images at Low Bit Rates
- A Simple Scheme for Adapting Time-Frequency Representations
Last Modified: December 13, 1998
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Barry E. Mapen
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