New irregular sampling coding method for transmitting images progressively

Abstract

Transmitting images over channels of low capacity is an important issue relating to networks. The authors propose a new progressive image transmission (PIT) method based on the irregular sampling coding scheme. In the proposed method, the original image is first sampled using the irregular sampling scheme and the resulting samples are divided into several segments for the purpose of progressive image transmission. Therefore, each segment of the samples is further encoded and then transmitted to the receiver in each phase. At the receiver, the well known four-nearest-neighbour (4NN) algorithm is employed to reconstruct the rough image during each phase. According to the experimental results, the image quality is better in each transmission phase than the image quality for the related methods, i.e. FRM, TSVQ and SMTSVQ. Moreover, in the first phase, the difference in PSNR between this method and SMTSVQ is up to 2.8 dB. Therefore, the proposed method is more effective than the other methods described previously.