Volume 6 Issue 2

Publication is Under Process from July, 2018 to December, 2018)

Sr. No. Title Author’s Name(s) Abstract Page Nos. Article
1. Indigenous Ethno-Medicinal and Ethno-Veterinary Practices in Shivalik Hills Zone of Himachal Pradesh, India Gulshan Kumar and Hem Chander Shivalik hills are the rich repository of diverse aromatic and medicinal plants. The present study focused on the analysis, documentation and interpretation of indigenous ethno-medicinal and ethno-veterinary practices in Shivalik hills zone of Himachal Pradesh, North-West Himalaya. During the study, a total of two hundred species of plants have been identified and enumerated. The highest number of species belongs to the families Brassicaceae, Cucurbitaceae, Leguminosae, Asteraceae, Euphorbiaceae, Solanaceae, Ranunculaceae and Sapindaceae. A wide range of diseases of human ranging from cough and cold to asthma and bronchitis, cuts and wounds to snakebites, and are treated by the traditional healers of study area with the help of these local plant remedies. Some of these plants are also used for ethno-veterinarian practices by livestock owners to diagnose animal diseases like foot and mouth disease, constipation, dysentery and de-worming etc.Click Here To Read More 01-14 DOWNLOAD PDF

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2. Efficient Color Image Enhancement Using Computational Photography Method Shailendra Singh Rajpoot In this letter, we propose a new global contrast enhancement algorithm using the computational photography method. On the basis of the computational photography, the color and depth image are first partitioned into subintervals using the Gaussian mixture model. The positions partitioning the color are then adjusted such that spatially neighbouring pixels with the similar intensity and depth values can be grouped into the same sub-interval. By approximating the mapping curve of the contrast enhancement for each sub-interval, the comprehensive image contrast can be improved without over-enhancing the local image contrast.Click Here To Read More 15-19 DOWNLOAD PDF

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3. Image Patching for Image Denoising: A Review Ashutosh Garg and Amit Shrivastava Usually we have a large number of devices by which we can take pictures, from a digital camera to a cell phone. Problem is that usually we take the picture we don’t see some errors that can be present in the image until we observe it in a computer or printed image. Now the real problem arises because it is almost impossible to recapture the same moment in a new photo. Hence to find a solution for this problem comes the need to implement a method to correct some of the defects that appear. In this paper we compare different methods, problems and their proposed solutions algorithms to patch an original image, using different texture image techniques.Click Here To Read More 20-26 DOWNLOAD PDF

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4. Click Here To Read More DOWNLOAD PDF

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