• Dr.Syed.JeelanBasha,
• Mallisetty.Saranya
• Pothireddy.AmruthaVarshini
• Nagireddy.Sahithi
• Padmasetty. Sravani

Image Quality would be a characteristics of an image which measures the discern image humiliation. It plays a vital role in various image processing applications. Measuring Image Quality becomes more necessary as a result of diverse applications involving digital imaging and communication. The main aim of Image Quality assessment is to produce quality measures which will predict discern image quality mechanically. various techniques are planned for measuring the quality of the image. In this paper, we proposed one of the technique to predict and to evaluate visual quality of an image by Support Vector Machine (SVM) which classifies the images along with image quality descriptors which are NIQE, PIQE, GLCM, LBP used for feature extractions of an images. After the classification, we can predict that whether the image is quality or not based on quality score produced.

SVM, image quality descriptors, Naturalness image quality evaluator(NIQE), perception image quality evaluator (PIQE), Gray-level co-occurrence matrix(GLCM), Local binary pattern(LBP), feature extractions.

"IMAGE QUALITY ASSESSMENT BASED ON NIQE, PIQE, GLCM, AND LBP USING SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.159-163, April-2019, Available :http://www.jetir.org/papers/JETIRBC06025.pdf

"IMAGE QUALITY ASSESSMENT BASED ON NIQE, PIQE, GLCM, AND LBP USING SVM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp159-163, April-2019, Available at : http://www.jetir.org/papers/JETIRBC06025.pdf