The retina is one of the most developed sensing organs in human body. However, knowledge on coding and decoding retinal neurons are still rather limited. Compared with (i.e., transforming visual scenes to spike trains), reconstructing from trains, especially those complex stimuli) more receives less attention. In this paper, we focus accurate reconstruction their trains by designing a train dec...

With the development of Video on Demand applications due to availability high-speed internet access, adaptive streaming algorithms have been developing and improving. The focus is improving user’s Quality Experience (QoE) taking it into account as one parameters for adaptation algorithm. Users often experience changing network conditions, so goal ensure stable video playback with satisfying QoE...

The past few years have witnessed increasing interests in applying deep learning to video compression. However, the existing approaches compress a frame with only number of reference frames, which limits their ability fully exploit temporal correlation among frames. To overcome this shortcoming, paper proposes Recurrent Learned Video Compression (RLVC) approach Auto-Encoder (RAE) and Probabilit...

To provide security of the images in the multimedia environment encryption plays an important role. The traditional cryptographic algorithm such as AES, DES, TDES, RSA, IDEA, etc. are not so effective for image encryption because of their slow processing speed, inherent features of image data like bulk data capacity, high redundancy and ineffectiveness in removing the correlations of the adjace...

Despite the ubiquitous usage in a wide variety of signal processing applications, the mean squared error (MSE) appears to be a poor measure when perceived image quality is our major concern. It is widely employed mostly because of its simplicity and good mathematical properties for optimization purposes. Among the recently proposed IQA approaches, the structural similarity (SSIM) index has emer...

According to recent forecast, mobile video will generate over 69 percent of global mobile data traffic by 2018. Due to this the liability on video service providers to match the video quality expectations of the end user has increased. The goal of video coding is to ensure good video quality within the provision of transmission and storage. Bit rates, distortion and complexity are factors that ...

Introduction: Diffusion tensor imaging (DTI) is an important medical imaging modality that has been useful to the study of microstructural changes in neurological diseases. However, the image noise level is a major practical limitation, in which one simple solution could be the average signal from a sequential acquisition. Nevertheless, this approach is time-consuming and is not often applied i...

Interpretive structural modeling (ISM) is one of the well-established methodologies for identifying relationships among specific items, which define the problems of an issue. This approach has been increasingly used by various researchers to represent the interrelationships among various elements related to the issue. . In general, there exists a direct correlation between various customer rece...