1 June 1990 Improved DPCM algorithm for image-data compression
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A new algorithm for designing DPCM systems is proposed for image data compression. When transmitting images over noiseless channels, the distortion between the original and reconstructed images is primarily due to quantization noise. This is true when optimal predictor structures are employed. The quantization error becomes severe at low bit rates. This is due to the large quantization error being directly fed back into the predictor and used in subsequent estimation of future pixels. The DPCM scheme developed attempts to balance between non-optimal predictor designs and significantly reduced feedback effects due to quantization errors with the objective of maximizing reconstructed image quality. DPCM system performance using the algorithm is about 2.5 dB greater than that obtained from an optimally designed conventional system. In addition, the algorithm is robust. Thus, the DPCM predictor does not need to be re-designed using exact statistics of the input image data for each image to be transmitted.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David G. Daut, David G. Daut, Dongming Zhao, Dongming Zhao, } "Improved DPCM algorithm for image-data compression", Proc. SPIE 1244, Image Processing Algorithms and Techniques, (1 June 1990); doi: 10.1117/12.19534; https://doi.org/10.1117/12.19534

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