Abstract
A new progressive image transmission system was proposed in this research paper for effective usage of communication bandwidth. At first, the superpixel based saliency detection method was used for segmenting the foreground region from the background region, because it gives more saliency information of an image with the benefit of color contrast. Then, Integer Wavelet Transform (IWT) was applied in the foreground image, which delivers A good quality of the image and also the compression ratio of the image was decent. Additionally, optimized neural network and modified Set Partitioned in Hierarchical Tree (SPIHT) algorithm were applied in the background image that delivers good rate distortion properties in the noise free environment and also enhances the image visual experience. In modified SPIHT, the sub-tree roots were not excluded that helps to encode and quantize the wavelet coefficients effectively. Also, it delivers more information to the image edges that effectively improves the subjective visual experience. Experiment report showed that the proposed work enhanced the Peak Signal to Noise Ratio (PSNR) upto 5dB compared to the existing work.
Highlights
In recent decades, progressive image transmission plays a vital role in transmitting image over internet channels
Maximum no of iteration for neural network No of training images used for neural network No of testing images used for neural network Minimum error for Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and neural network
A new progressive image transmission system is proposed in this paper for both color and graylevel images on the basis of superpixel based saliency detection and modified Set Partitioned in Hierarchical Tree (SPIHT) algorithm
Summary
Progressive image transmission plays a vital role in transmitting image over internet channels. The user can decide whether the image transmission needs to be continued or not. The rate distortion performance is the most important feature for numerous progressive image transmission methods [6,7,8]. In progressive image transmission methods, it is essential that the initial image quality should be good, so the user can take the decision [9,10]. The aim of this research work is to propose a new progressive image transmission system for attaining good quality of images at the early stage with low bit rate. The proposed progressive image transmission system is tested on wild life and medical images.
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