Abstract Video streaming is a traditional network traffic application with high bandwidth and delay requirements. Optimizing the network infrastructure for video streaming traffic is an ongoing challenge. In this paper, we consider the case of unicast live video streaming over parallel channels with different reliability and bandwidth, for example, wireless channels. While video streaming over parallel channels was proposed before, each... Video streaming is a traditional network traffic application with high bandwidth and delay requirements. Optimizing the network infrastructure for video streaming traffic is an ongoing challenge. In this paper, we consider the case of unicast live video streaming over parallel channels with different reliability and bandwidth, for example, wireless channels. While video streaming over parallel channels was proposed before, each frame in the video data was considered to be equally important. As a result, important frames could be sent over less noisy channels, which impacts perceived video quality at the receiver. We show that by using a protocol such as the Stream Control Transmission Protocol (SCTP), we can identify higher reliability channels in a set of potential channels between the video source and consumer. To maximise the experienced video quality at the receiver, we then identify more important data in the video stream and send it over the better channels. We simulate the proposed solution and demonstrate the effectiveness of our proposed framework for concurrent multipath video streaming and the performance gain of concurrent multipath transmission in wireless networks. Read More Read Less

Abstract Digital image enhancement has been a hot topic during the past decades. In this paper, we have established a new approach for local gray contrast adjustment of tiny characters and global referenced base contrast enhancement approach to improve the contrast of degraded images. The proposed approach initially adjusts the contrast of tiny characters and then enhances the contrast of whole... Digital image enhancement has been a hot topic during the past decades. In this paper, we have established a new approach for local gray contrast adjustment of tiny characters and global referenced base contrast enhancement approach to improve the contrast of degraded images. The proposed approach initially adjusts the contrast of tiny characters and then enhances the contrast of whole image by finding out some vital information from the histogram of the referenced image. The experimental results show that the proposed algorithm can adjust the tiny characters and increase the image contrast efficiently. Read More Read Less

Abstract Digital image enhancement has been a hot topic during the past decades. In this paper, we have established a new approach for local gray contrast adjustment of tiny characters and global referenced base contrast enhancement approach to improve the contrast of degraded images. The proposed approach initially adjusts the contrast of tiny characters and then enhances the contrast of whole... Digital image enhancement has been a hot topic during the past decades. In this paper, we have established a new approach for local gray contrast adjustment of tiny characters and global referenced base contrast enhancement approach to improve the contrast of degraded images. The proposed approach initially adjusts the contrast of tiny characters and then enhances the contrast of whole image by finding out some vital information from the histogram of the referenced image. The experimental results show that the proposed algorithm can adjust the tiny characters and increase the image contrast efficiently. Read More Read Less

Abstract Retinal images are in use by ophthalmologists for the clinical analysis and diagnosis of different retinal diseases. The ocular disease known as Diabetic Retinopathy (DR) is a retinal disease that causes microvascular changes in the eye retina. Hard Exudates (HE) a retinal lesion can be seen as bright yellowish spots in colored fundus photograph and as bright white blobs... Retinal images are in use by ophthalmologists for the clinical analysis and diagnosis of different retinal diseases. The ocular disease known as Diabetic Retinopathy (DR) is a retinal disease that causes microvascular changes in the eye retina. Hard Exudates (HE) a retinal lesion can be seen as bright yellowish spots in colored fundus photograph and as bright white blobs in red free fundus image. The aim of this paper is to propose an automated technique for the identification of HE to help in the diagnosis of DR. The proposed method use dynamic thresholding for the segmentation of HE after calculating intensity based parameters of the input retinal image. Before the segmentation of exudates the Optic Disc (OD) is removed from the image using averaging and morphological operations. A sensitivity of 98.73%, specificity of 98.25% and accuracy 97.62% for HE segmentation is achieved respectively on 1200 images from publically available database MESSIDOR. Compared with the state of art, the proposed automated technique has a reasonable accuracy and can be used as a trustworthy clinical diagnostic tool. Read More Read Less