Image Coding using Feature Map Finite-State Vector Quantization

: In this paper a Vector Quantization (VQ) scheme with finite memory called Feature Map Finite-State Vector Quantization (FMFSVQ) is presented. The FMFSVQ takes advantage of good topological ordering so that the design of statecodebooks are simplified. Our FMFSVQ also has no duplication of state-codebooks, no synchronization required between encoder and decoder, and a very simple decoder. An adaptive FMFSVQ scheme is also proposed. Experimental results are presented for different super-codebook sizes and different state-codebook sizes. 1 Introduction Conventional Vector Quantization (VQ) is an effective technique for image compression [1]. To reduce bit rate, VQ exploits statistical redundancy between neighboring pixels within a block. Since the computational complexity increases exponentially with the block size, the VQ block size is kept small to keep computations manageable. With small block size, adjacent blocks have high statistical correlation. To further lower the bit rate, it i..