A quantization based codebook formation method of vector quantization algorithm to improve the compression ratio while preserving the visual quality of the decompressed image.
Dibyendu BarmanAbul HasnatBandana BarmanPublished in: Multidimens. Syst. Signal Process. (2023)
Keyphrases
- vector quantization
- higher psnr
- image compression
- compression ratio
- distortion measure
- visual quality
- high compression ratio
- reconstructed image
- set partitioning in hierarchical trees
- codebook design
- compression rate
- peak signal to noise ratio
- fractal coding
- fractal image compression
- image quality
- compression algorithm
- tree structured vector quantization
- vector quantizer
- fractal image coding
- compressed images
- linde buzo gray
- low bit rate
- compression scheme
- data compression
- vector quantized
- lossless compression
- test images
- wavelet transform
- transform coefficients
- computational complexity
- human visual system
- bit rate
- arithmetic coding
- color quantization
- quantization error
- image reconstruction
- progressive transmission
- high frequency
- subband
- image transmission
- lossy compression
- structural similarity
- image data
- entropy coding
- video compression
- compressed data
- bit allocation
- spatial domain
- image coder
- image processing
- human perception
- rate control