Title :
Subband finite state scalar quantization
Author :
Naveen, T. ; Woods, John W.
Author_Institution :
Center for Image Process. Res., Rensselaer Polytech. Inst., Troy, NY, USA
fDate :
1/1/1996 12:00:00 AM
Abstract :
A new image-coding algorithm that exploits the relationship between various subbands of an image is presented in this correspondence. Using local variance for state selection and uniform threshold quantizers on subbands, we have achieved a reduction in quantization noise compared to other published techniques for Lena at various bit rates
Keywords :
image coding; noise; quantisation (signal); HD video; image-coding algorithm; local variance; quantization noise reduction; state selection; still image; subband finite state scalar quantization; uniform threshold quantizers; Computer architecture; Frequency; Graphics; Image coding; Image processing; Memory management; Performance gain; Pixel; Quantization; Tiles;
Journal_Title :
Image Processing, IEEE Transactions on
