“Investigative Compression Of Lossy Images By Enactment Of Lattice Vector Quantization Technique With D4 Lattice System & Spherical Truncation

In the digital era we live in, efficient representation of data generated by a discrete source and its reliable transmission are unquestionable need. In this work we have focused on source coding taking image as source. Lattice Vector Quantization (LVQ) can be used for source coding as well as for channel coding. (LVQ) with Generator Matrix (GM) and codebook is implemented. When implementation using codebook is done, two codebooks are constructed, one with 256 lattice points that are closest to (0,0,0,0) and another with 256 lattice points that are closest to (1,0,0,0). Energy for both the codes is calculated. When we compare the energy of both the codes we find that codes centered at a non lattice point is lower energy code.