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RESEARCH OUTPUT

Publications

38 publications and patents in optimization, machine learning, cloud computing, IoT and intelligent systems.

160 citations 6 h-index 5 i10-index Source: OpenAlex

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2020

  1. Conference Paper

    A Review on Medical Image Data Compression Techniques

    Gopal Patidar, Sunil Kumar, Dilip Kumar

    2nd International Conference on Data, Engineering and Applications, IDEA 2020, pp. 1–6, 2020

    DOI Link BibTeX Cited by 20
    Abstract

    In most of the telemedicine applications, the role of image compression techniques is important to deal with the medical images. This will be used for storage and transfer of data over a low bandwidth channel like the Internet by pathologist to a doctor for diagnosis problems of patient.If a medical image is compressed using methods of lossy compression, the doctor will not be able to perceive any deterioration in quality with respect to the original input image. One of the main disadvantage of the lossy compression algorithms that are commonly used for multimedia applications not for medical image, while the overall quality of the image can be controlled to some extent, in these cases, it is necessary to use lossless compression algorithms, because the compression and decompression of an image is identical to the original image since the information is preserved during the decompression process after image compression the reconstructed image is exact replica of the original image means no information is lost in the coding process. The aim of this paper is to provide a review on various image compression techniques, which is used in medical image compression, performance analysis and compared existing research on medical image compression.

  2. Conference Paper

    Bell pepper leaf disease classification using CNN

    Monu Bhagat, Dilip Kumar, Rehan Mahmood, Bibhudhendra Pati, Monu Kumar

    2nd International Conference on Data, Engineering and Applications, IDEA 2020, pp. 1–5, 2020

    DOI Link BibTeX Cited by 45
  3. Conference Paper

    Comparative Analysis and Performance Evaluation of Medical Image Compression Method for Telemedicine

    Sunil Kumar, Dilip Kumar

    2nd International Conference on Data, Engineering and Applications, IDEA 2020, vol. 22, pp. 1–5, 2020

    DOI Link BibTeX Cited by 3
    Abstract

    In most of the telemedicine applications, the role of image compression techniques is important to deal with the medical images. This will be used for storage and transfer of data over a low bandwidth channel. One of the main drawbacks of the lossy compression algorithms is that it is not applicable for multimedia application while the overall quality of the image can be controlled to some extent. Due to the multiple properties of the Wavelet Transform over DCT, the wavelet based techniques (JPEG 2000) have produced better results compared to DCT based techniques (JPEG). Results of the above-noted techniques were compared and different parameters for medical images such as compression, MSE, SNR, PSNR analysis were carried out.

  4. Conference Paper

    Plant leaf disease classification using grid search based SVM

    Monu Bhagat, Dilip Kumar, Isharul Haque, Hemant Singh Munda, Ravi Bhagat

    2nd International Conference on Data, Engineering and Applications, IDEA 2020, pp. 1–6, 2020

    DOI Link BibTeX Cited by 47
  5. Preprint

    Rapid and Efficient Medical Image Segmentation Using Thresholding and CLAHE with 3-Level FCM Clustering

    Sunil Kumar, Dilip Kumar, Monu Bhagat

    SSRN Electronic Journal, 2020

    DOI Link BibTeX Cited by 6