Combining Image Compression and Classification Using Vector Quantization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Novel vector quantiser design using reinforced learning as a pre-process
Signal Processing
Image and Vision Computing
Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients
IEEE Transactions on Evolutionary Computation
Fuzzy vector quantization algorithms and their application in image compression
IEEE Transactions on Image Processing
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A novel framework has been proposed by integrating FIM with APSO to get their mutual benefits for achieving near optimum codebook for carrying an image compression. Proposed scheme uses adaptive strategies which have two main features that give APSO an upper hand over the PSO. This FAPSOVQ strategy is compared with FPSOVQ algorithm to show its efficiency in terms of preventing the global best particle from getting stuck in local optima as in the PSO. Peak-signal-to-noise ratio is taking as a parameter to show the efficiency of proposed scheme.