Computer Science & Engineering

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Browsing Computer Science & Engineering by Author "Jacob, Rani"

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    A Simplified Fractal Texture Analysis Approach using Quadtree Decomposition with Huffman Coding Technique 2021 September
    (Middle East Journal of Applied Science & Technology, 2021) Jacob, Rani
    Fractal compression is compression of the lossy type, which is applied for natural textured images. A fractal image compression technique based on the Quadtree algorithm and Huffman coding is proposed in this work. Agonizingly, the term "fractal compression" refers to an image compression technique that uses the fractal geometry of the image data stream to achieve lossy compression. Realistic images and textures are created with the help of this tool. It is based on the fact that parts of an image are frequently similar to other parts of the same image, which allows for faster processing. The most widely used partitioning mechanism is image partitioning in a tree structure. In this emerging world of image processing, quad tree partitioning is a one-of-a-kind technique that divides an image into a set of homogeneous regions. Huffman coding is a type of data compression that is lossless. The Huffman encoding algorithm is introduced through this technique, which creates an alphabetic list of all of the alphabet symbols, which is then arranged in descending order of their likelihood of occurring. The peak signal-to-noise ratio is quite improved by employing the proposed technique, and the encoding time is reduced.
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    An Efficient Analysis of Wavelet Techniques on Image Compression
    (Irish Interdisciplinary Journal of Science & Research (IIJSR), 2022) Jacob, Rani
    Compression can be defined as an art form that involves the representation of information in a reduced form when compared to the original information. Image compression is extremely important in this day and age because of the increased demand for sharing and storing multimedia data. Compression is concerned with removing redundant or superfluous information from a file to reduce the size of the file. The reduction of the file size saves both memory and the time required to transmit and store data. Lossless compression techniques are distinguished from lossy compression techniques, which are distinguished from one another. This paper focuses on the literature studies on various compression techniques and the comparisons between them.
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    Impeccable MRI Image Compression with Non-Uniform Partition and U-System
    (International Journal of Creative Research Thoughts (IJCRT), 2022) Jacob, Rani
    In MRI digital images have multivariate texture complexities, there is a need for a compression algorithm that is effective in the compression of such images with improved quality of the compressed image and successfully reduced blocking artifacts. This paper gives an efficient algorithm that compresses an MRI image by dividing the image into 8×8 high texture image blocks then 16×16 low texture image blocks using image texture adaptive non-uniform rectangular partition and a transform coding blocking of different sizes which finally uses a flexible adaptive quantization scheme while considering human visual system (HSV). The algorithm discussed in this paper is more efficient than the DCT algorithm and is more tolerant to low bit rate images create the compressed image to a high quality and conquer all the potential blocking artifacts that develop with DCT algorithm image compression.
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    Medical Image Compression using DCT with Entropy Encoding and Huffman on MRI Brain Images
    (Asian Journal of Applied Science and Technology (AJAST), 2022) Jacob, Rani
    Digital image compression is a modern technology which comprises of wide range of use in different fields as in machine learning, medicine, research and many others. Many techniques exist in image processing. This paper aims at the analysis of compression using Discrete Cosine Transform (DCT) by using special methods of coding to produce enhanced results. DCT is a technique or method used to transform pixels of an image into elementary frequency component. It converts each pixel value of an image into its corresponding frequency value. There has to be a formula that has to be used during compression and it should be reversible without losing quality of the image. These formulae are for lossy and lossless compression techniques which are used in this project. The research test Magnetic Resonance Images (MRI) using a set of brain images. During program execution, original image will be inserted and then some algorithms will be performed on the image to compress it and a decompressing algorithm will execute on the compressed file to produce an enhanced lossless image.
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    Performance Analysis of Image Compression in MRI BI using ROI & Non ROI coding technique
    (International Journal of Advanced in Management, Technology and Engineering Sciences, 2022) Jacob, Rani
    The growing demand for medical image storage and transmission has resulted in a shortage of memory and bandwidth. Compression was used to find these issues. Clinical image compression is used to improve image quality, reduce bit rate, increase compression efficiency for storage and transmission, and reduce cost. MRI images are quite clinical. To store and transmit thousands of MRI pictures, you need a lot of storage space and bandwidth. Thus, high-quality MRI image compression is more research focused. Many Compression strategies for MRI with low compression rate cause loss of data on lesions, and lead to misdiagnose. This research proposed several MRI image compression methods. Our main goals are to provide more compressed clinical images, encourage early location and finding followed by therapy using multi-resolution compression technology. A two-dimensional (2D) picture arrangement is created by first converting 3D MRI scans into 2D images. Then range and area blocks are arranged by 3D object's spatio-temporal similarity. In addition, the proposed technique uses wavelet transform and MRG algorithm to analyse the performance of wavelet contains transformation, quantization, and entropy coding to compress the most significant piece of ROI using DWT and s. It compresses non-ROI using DCT and MHE (merging based Huffman encoding). Finally, residual compensation is used to provide good decompression quality MRI compression.
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    The Role and Challenges of Women in Cybersecurity in Nagapattinam District, TamilNadu, INDIA.
    (SCIENTIFIC CULTURE, 2024) Jacob, Rani
    Around quarter of cybersecurity occupations overall are held by women, which unfortunately doesn't exactly match the half of worldwide female populace. Despite the fact that there has been progress throughout the course of recent years, more work should be finished. Women face numerous impediments in the field of cybersecurity, including a shortage of mentors, deficient media portrayal, and an absence of industry good examples. Quick advancements in innovation, especially in the field of cyberspace, have introduced another time of information, opportunity, and development . Be that as it may, the web's quickly extending come to, the speedy scattering of data through cell phones, and the expanded utilization of virtual entertainment have likewise prompted an ascent in wrongdoing. In this specific circumstance, women's weaknesses in reality are reflected in the virtual world and are periodically exacerbated by its speedy and boundless scattering, anonymized utilize potential, and low client mindfulness. It's a given that a worldwide issue in cybersecurity is the absence of gender variety in the field. While there are different justifications for why women are still underrepresented in this field, significant bias and gender generalizations add to the discernment that a profession in cyber security is unsatisfactory for women. Fortinet is among the many organizations that are effectively resolving this issue. This reaches out past believing variety to be an honorable goal, which it is. Taking into account the developing emergency brought about by the worldwide security abilities hole, it is basic that more women join the positions of cyber security experts assuming our general public is to be safeguarded. Research demonstrates that women are underrepresented in the cyber security field, albeit this is slowly evolving. The new development offers women who are simply beginning their vocations an upper hand in the gig market. Hence, the present study has been done to highlight the role and challenges of women in cybersecurity in Nagapattinam District.