Title : 
Image coding using robust quantization for noisy digital transmission
         
        
            Author : 
Chen, Qing ; Fischer, Thomas R.
         
        
            Author_Institution : 
3Com (US Robotics), Skokie, IL, USA
         
        
        
        
        
            fDate : 
4/1/1998 12:00:00 AM
         
        
        
        
            Abstract : 
A robust quantizer is developed for encoding memoryless sources and transmission over the binary symmetric channel (BSC). The system combines channel optimized scalar quantization (COSQ) with all-pass filtering, the latter performed using a binary phase-scrambling/descrambling method. Applied to a broad class of sources, the robust quantizer achieves the same performance as the Gaussian COSQ for the memoryless Gaussian source. This quantizer is used in image coding for transmission over a BSC. The peak signal-to-noise ratio (PSNR) performance degrades gracefully as the channel bit error rate increases
         
        
            Keywords : 
all-pass filters; channel coding; cryptography; digital communication; image coding; memoryless systems; noise; source coding; all-pass filtering; binary phase-scrambling/descrambling method; binary symmetric channel; channel bit error rate; channel optimized scalar quantization; image coding; memoryless sources; noisy digital transmission; peak signal-to-noise ratio performance; robust quantization; Bit error rate; Degradation; Design optimization; Filtering; Image coding; Optimization methods; PSNR; Quantization; Rate-distortion; Robustness;
         
        
        
            Journal_Title : 
Image Processing, IEEE Transactions on