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Quality Scalability is one of the important features of interactive imagingto obtain better perceptual quality at a specified target bit rate. In JPEG2000, it is achieved using quality layers obtained by Rate-Distortion (R-D)optimization techniques in Tier-II coding. Some important concerns here are:(i) inefficient conventional Post-Compression Rate-Distortion (PCRD)optimization algorithms, (ii) lack of quality scalability for less or singlequality layer string. This paper takes the above mentioned concerns intoaccount and proposes a Blind Quality Scalable (BlinQS) algorithm that providesscalability with the least computational complexity. The novel part of thismethod is to eliminate the Tier-II coding and add a blind string selectionalgorithm through a normal distribution for efficient rate control. The resultsobtained suggest that the proposed method achieves better results thanJPEG-2000 at single quality layer and achieves results close to JPEG-2000without using PCRD optimization algorithms.

BlinQS: Blind Quality Scalable Image Compression Algorithm without using PCRD Optimization