Abstract
An image consists of large data and requires more space in the memory. The large data results in more transmission time from transmitter to receiver. The time consumption can be reduced by using data compression techniques. In this technique, it is possible to eliminate the redundant data contained in an image. The compressed image requires less memory space and less time to transmit in the form of information from transmitter to receiver. Artificial neural net- work with feed forward back propagation technique can be used for image compression. In this paper, the Bipolar Coding Technique is proposed and implemented for image compression and obtained the better results as compared to Principal Component Analysis (PCA) technique. However, the LM algorithm is also proposed and implemented which can acts as a powerful technique for image compression. It is observed that the Bipolar Coding and LM algorithm suits the best for image compression and processing applications.
Highlights
Image compression plays an important role in communication and medical applications
The quality of an image is measured using the parameters like Mean Square Error (MSE) and Peak Signal to Noise ratio (PSNR)
MSE and PSNR are the parameters which define the quality of an image reconstructed at the output layer of neural network
Summary
Image compression plays an important role in communication and medical applications. The main aim of image compression is to remove the redundancy from image data in such a way that it allows the same image reconstruction at the receiver end. Digital or video images are compressed by lossy compression techniques [1,2,3] For such type of compression, transform coding techniques like cosine transform, wavelet transform are very effective techniques, which give better results but it process the data in serial manner and requires more time for processing [4]. The artificial neural network is a recent tool in image compression as it processes the data in parallel and requires less time and it is superior over any other technique. Authors proposed the Bipolar Coding and Levenberg-Marquardt (LM) algorithm with back propagation neural network for image compression.
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