Search Results - (( structures perceptions detection algorithm ) OR ( java application stemming algorithm ))

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    An analysis of image quality assessment algorithm to detect the presence of unnatural contrast enhancement

    An analysis of image quality assessment algorithm to detect the presence of unnatural contrast enhancement by Ismail, Nur Halilah, Chen, Soong Der, Ng, Liang Shing, Ramli, Abd Rahman

    Published 2016
    “…Basically, the IQA used produced quality rating of the image while consistently with human visual perception. Current IQA to detect presence of unnatural contrast enhancement: Lightness Order Error (LOE), Structure Measure Operator (SMO) and Statistical Naturalness Measure (SNM). …”
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  2. 2
    3D LiDAR Vehicle Perception and Classification Using 3D Machine Learning Algorithm

    3D LiDAR Vehicle Perception and Classification Using 3D Machine Learning Algorithm by Yong, Ericsson, Muhammad Aizzat, Zakaria, Mohamad Heerwan, Peeie, M. Izhar, Ishak

    Published 2024
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  3. 3
    An analysis of image quality assessment algorithm to detect the presence of unnatural contrast enhancement

    An analysis of image quality assessment algorithm to detect the presence of unnatural contrast enhancement by Ismail N.H.B., Chen S.-D., Ng L.S., Ramli A.R.

    Published 2023
    “…Basically, the IQA used produced quality rating of the image while consistently with human visual perception. Current IQA to detect presence of unnatural contrast enhancement: Lightness Order Error (LOE), Structure Measure Operator (SMO) and Statistical Naturalness Measure (SNM). …”
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  4. 4
    The role of vibrato in the perception of violin timbral quality

    The role of vibrato in the perception of violin timbral quality by Law, Michele Soo Ling

    Published 2002
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  5. 5
    An enhance embedding method using edge and textures detection for image steganography

    An enhance embedding method using edge and textures detection for image steganography by Al-Maliki, Alaa Jabbar Qasim

    Published 2024
    “…This method seeks to ensure secure and effective data concealment by identifying and utilizing noisy zones in images, making it more difficult for steganalysis tools to detect the embedded information. The study utilized differential operators and filters to detect edges and textures in images, where data embedding is less perceptible. …”
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  6. 6
    Permutation entropy based full-reference image quality qssessment

    Permutation entropy based full-reference image quality qssessment by Baqar, Mohtashim *, Lau, Sian Lun *, Mansoor Ebrahim

    Published 2019
    “…Permutation entropy helps in detecting and visualizing changes related to structures with the correlation between successive samples instead of considering magnitudes of the signal, and since, perception of an image to the HVS changes more because of structural changes in an image rather than that of visible errors i.e. …”
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  7. 7
    Segmentation assessment of activated sludge flocs at different magnifications for wastewater treatment

    Segmentation assessment of activated sludge flocs at different magnifications for wastewater treatment by Khan, M.B., Nisar, H., Ng, C.A., Salih, Y., Malik, A.S.

    Published 2014
    “…Conventional physico-chemical methods take a lot of time to detect the abnormal operation, consequently leaving insufficient time for precautionary measures. …”
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