PERFORMANCE ANALYSIS OF BTC-PF ALGORITHM FOR IMAGE COMPRESSION
Keywords:
Image Processing, Compression, BTC Scheme, storage, resolution, decoding, transmission, MSE, PSNR, SSIM.Abstract
In this paper, a novel Gray Scale image compression method (BTC algorithm using Pattern fitting) based on block truncation coding (BTC) and Vector quantization (VQ) is proposed. This method inherits the advantages of both BTC and vector quantization. The BTC-PF method has some controlling parameters through which we can control the bit-rate and quality. The BTC-PF method is also successfully employed to handle low bit-rate coding. The performance of proposed image compression method is quite good. As the decoding methods are mainly based on table look up, decoding module of these methods are faster than that of the state-of-the-art techniques. The effectiveness of the proposed schemes is established by comparing the performance with that of the existing methods.
