Title :
Spatial Constant Quantization in JPEG XR is Nearly Optimal
Author_Institution :
Univ. of Stuttgart, Stuttgart, Germany
Abstract :
The JPEG XR image compression standard, originally developed under the name HD-Photo by Microsoft, offers the feature of spatial variably quantization; its codestream syntax allows to select one out of a limited set of possible quantizers per macro block and per frequency band. In this paper, an algorithm is presented that finds the rate-distortion optimal set of quantizers, and the optimal quantizer choice for each macro block. Even though it seems plausible that this feature may provide a huge improvement for images whose statistics is non-stationary, e.g. compound images, it is demonstrated that the PSNR improvement is not larger than 0.3 dB for a two-step heuristics of feasible complexity, but improvements of up to 0.8 dB for compound images are possible by a much more complex optimization strategy.
Keywords :
data compression; image coding; optimisation; rate distortion theory; vector quantisation; HD-Photo; JPEG XR image compression standard; Microsoft; codestream syntax; compound images; optimization; rate-distortion optimal set; spatial constant quantization; spatial variably quantization; statistics; Decorrelation; Discrete cosine transforms; Encoding; ISO standards; Image coding; PSNR; Quantization; Statistics; Testing; Transform coding; JPEG XR; Rate Distortion Theory; Simulated Annealing; Variable Quantization;
Conference_Titel :
Data Compression Conference (DCC), 2010
Conference_Location :
Snowbird, UT
Print_ISBN :
978-1-4244-6425-8
Electronic_ISBN :
1068-0314
DOI :
10.1109/DCC.2010.14