Title :
Effective visual masking techniques in JPEG200
Author_Institution :
Comput. Center, Univ. of Stuttgart, Stuttgart
Abstract :
This paper introduces a very low complexity visual masking algorithm for the JPEG2000 image compression standard and evaluates its impact on the visual image quality by means of the multi-scale SSIM index. The algorithm derives suitable weighting masks indirectly from a statistical model of the wavelet data which is defined from the second moment and the average absolute amplitude of the data. If combined with an a priori rate allocation algorithm, the computation of the visual masking weights has almost no overhead at all.
Keywords :
data compression; image coding; wavelet transforms; JPEG2000 image compression standard; low complexity algorithm; multi-scale SSIM index; rate allocation algorithm; statistical model; visual image quality; visual masking algorithm; wavelet data; weighting masks; Codecs; Frequency; Humans; Image coding; Image quality; Image reconstruction; Mean square error methods; Rate-distortion; Transform coding; Visual system; Generalized Gaussian; JPEG2000; Visual Masking;
Conference_Titel :
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-1765-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2008.4712395
