ISSN 2394-5125
 

Research Article 


RESIDUE ANALYSIS OF IMAGE QUALITY USING TENSORFLOW

Mrutyunjaya S Yalawar, L.Umasankar, Mr.Bottu Gurunadha Rao.

Abstract
Residue analysis is important factor to enhance the quality of the image. Nowadays various image quality
assessment and enhancement techniques are available. Layered High range dynamic image processing method is
proposed to improve the image quality. The mapping of 8-bit conversion and code is applied for finding residue of
images. In this case, each image characteristics are taken into account and create residue block for processing. The local
characteristics are verified and find the residue signal ranges. In this paper, we used High dynamic range encoding
scheme for calculating each residue block characteristics. This method is used to find different bitrates, spatial activities
and dynamic ranges. The experiments are shown the 8-bit conversion method perform well and find the residue analysis.
The final results are conducted by using linear and non-linear method. Our proposed method performs better and gives
high quality visual images, trained data set and less computational cost.

Key words: Image quality, Residue analysis, TensorFlow, High dynamic range encoding, Image enhancement


 
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How to Cite this Article
Pubmed Style

Mrutyunjaya S Yalawar, L.Umasankar, Mr.Bottu Gurunadha Rao. RESIDUE ANALYSIS OF IMAGE QUALITY USING TENSORFLOW. JCR. 2020; 7(4): 1742-1746. doi:10.31838/jcr.07.04.286


Web Style

Mrutyunjaya S Yalawar, L.Umasankar, Mr.Bottu Gurunadha Rao. RESIDUE ANALYSIS OF IMAGE QUALITY USING TENSORFLOW. http://www.jcreview.com/?mno=116618 [Access: May 31, 2021]. doi:10.31838/jcr.07.04.286


AMA (American Medical Association) Style

Mrutyunjaya S Yalawar, L.Umasankar, Mr.Bottu Gurunadha Rao. RESIDUE ANALYSIS OF IMAGE QUALITY USING TENSORFLOW. JCR. 2020; 7(4): 1742-1746. doi:10.31838/jcr.07.04.286



Vancouver/ICMJE Style

Mrutyunjaya S Yalawar, L.Umasankar, Mr.Bottu Gurunadha Rao. RESIDUE ANALYSIS OF IMAGE QUALITY USING TENSORFLOW. JCR. (2020), [cited May 31, 2021]; 7(4): 1742-1746. doi:10.31838/jcr.07.04.286



Harvard Style

Mrutyunjaya S Yalawar, L.Umasankar, Mr.Bottu Gurunadha Rao (2020) RESIDUE ANALYSIS OF IMAGE QUALITY USING TENSORFLOW. JCR, 7 (4), 1742-1746. doi:10.31838/jcr.07.04.286



Turabian Style

Mrutyunjaya S Yalawar, L.Umasankar, Mr.Bottu Gurunadha Rao. 2020. RESIDUE ANALYSIS OF IMAGE QUALITY USING TENSORFLOW. Journal of Critical Reviews, 7 (4), 1742-1746. doi:10.31838/jcr.07.04.286



Chicago Style

Mrutyunjaya S Yalawar, L.Umasankar, Mr.Bottu Gurunadha Rao. "RESIDUE ANALYSIS OF IMAGE QUALITY USING TENSORFLOW." Journal of Critical Reviews 7 (2020), 1742-1746. doi:10.31838/jcr.07.04.286



MLA (The Modern Language Association) Style

Mrutyunjaya S Yalawar, L.Umasankar, Mr.Bottu Gurunadha Rao. "RESIDUE ANALYSIS OF IMAGE QUALITY USING TENSORFLOW." Journal of Critical Reviews 7.4 (2020), 1742-1746. Print. doi:10.31838/jcr.07.04.286



APA (American Psychological Association) Style

Mrutyunjaya S Yalawar, L.Umasankar, Mr.Bottu Gurunadha Rao (2020) RESIDUE ANALYSIS OF IMAGE QUALITY USING TENSORFLOW. Journal of Critical Reviews, 7 (4), 1742-1746. doi:10.31838/jcr.07.04.286