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Entropy Based Fuzzy Classification Of Images On Quality Assessment

المصدر: مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
الناشر: جامعة الملك سعود
المؤلف الرئيسي: De, Indrajit (Author)
مؤلفين آخرين: Sil, Jaya (Co-Author)
المجلد/العدد: مج24, ع2
محكمة: نعم
الدولة: السعودية
التاريخ الميلادي: 2012
الصفحات: 165 - 173
DOI: 10.33948/0584-024-002-009
ISSN: 1319-1578
رقم MD: 972827
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: science
مواضيع:
الإنتروبي | معالجة الصور | الصور الرقمية
كلمات المؤلف المفتاحية:
MOS | Fuzzy Relational Classifier | No-Reference | Local entropy | Local Entropy | SIFT
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المستخلص: Referenced image quality assessment methods require huge memory and time involvement, therefore not suitable to use in real time environment. On the other hand development of an automated system to assessing quality of images without reference to the original image is difficult due to uncertainty in relations between features and quality of images. The paper aims at developing a fuzzy based no-reference image quality assessment system by utilizing human perception and entropy of images. The proposed approach selects important features to reduce complexity of the system and based on entropy of feature vector the images are partitioned into different clusters. To assign soft class labels to different images, continuous weights are estimated using entropy of mean opinion score (MOS) unlike the previous works where crisp weights were used. Finally, fuzzy relational classifier (FRC) has been built using MOS based weight matrix and fuzzy partition matrix to establish correlation between features and class labels. Quality of the distorted/decompressed test images are predicted using the proposed fuzzy system, showing satisfactory results with the existing no reference techniques.
ISSN: 1319-1578

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