Title :
Regularized dequantization for DCT-based transform coding
Author :
Song, S. Moon-Ho ; Lee, Gunho
Author_Institution :
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
Abstract :
We present a new dequantization technique for discrete cosine transform (DCT) based encoding. For the lack of better dequantization methods, the currently existing image compression standards states simply to multiply the received quantized DCT coefficients by the quantization matrix. Therefore, for each DCT coefficient, the quantization noise as large as half quantizer step size may be introduced (in the DCT domain). Our proposed technique, through regularization, dequantizes the quantized DCT coefficients so that the resulting decoded image will be visually more pleasing. Through simulation studies, we show improvements in the visual characteristics and also in terms of the peak-signal-to-noise-ratio (PSNR)
Keywords :
data compression; decoding; discrete cosine transforms; image coding; noise; quantisation (signal); transform coding; DCT-based transform coding; PSNR; decoded image; discrete cosine transform; half quantizer step size; image compression standards; peak-signal-to-noise-ratio; quantization matrix; quantization noise; quantized DCT coefficients; regularized dequantization; simulation; visual characteristics; Decoding; Discrete cosine transforms; Encoding; Image coding; Image restoration; Iterative algorithms; Least squares methods; PSNR; Quantization; Transform coding;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.859237