Estimation of Picture Quality under Various Twists
By: Mohit Kumar
.
Publisher: New Delhi Journals Pub 2019Edition: Vol.5(2), Jul-Dec.Description: 33-38p.Subject(s): EXTC EngineeringOnline resources: Click here
In:
International journal of VLSI design and technologySummary: The assessment of the picture quality is essential. The best subjective assessment of the picture is finished by the human eyes as they are the great beneficiaries. Target investigation of the picture is finished by utilizing full reference metric. The aftereffects of the target estimations are approved by the subjective estimations. The target assessment of picture in this paper has been done utilizing PSNR (Peak Signal to Commotion Ratio), MSE (Mean Squared Error) and SSIM (Structural Similarity Index Metric). These calculations are connected on the distinctive pictures. If the estimation of PSNR expands, the comparing estimation of SSIM additionally increments and the estimation of MSE declines. In the proposed wok, if the estimation of MSE increments by 8%, then the comparing PSNR diminishes by 10%. This is not material on all pictures because the MSE, PSNR and SSIM changes as indicated by the multifaceted nature of the picture. Each picture has diverse coefficient of many-sided quality. More unpredictable picture gets mutilated first than the less perplexing picture.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2020-2021184 |
The assessment of the picture quality is essential. The best subjective assessment of the picture is finished by the human eyes as they are the great beneficiaries. Target investigation of the picture is finished by utilizing full reference metric. The aftereffects of the target estimations are approved by the subjective estimations. The target assessment of picture in this paper has been done utilizing PSNR (Peak Signal to Commotion Ratio), MSE (Mean Squared Error) and SSIM (Structural Similarity Index Metric). These calculations are connected on the distinctive pictures. If the estimation of PSNR expands, the comparing estimation of SSIM additionally increments and the estimation of MSE declines. In the proposed wok, if the estimation of MSE increments by 8%, then the comparing PSNR diminishes by 10%. This is not material on all pictures because the MSE, PSNR and SSIM changes as indicated by the multifaceted nature of the picture. Each picture has diverse coefficient of many-sided quality. More unpredictable picture gets mutilated first than the less perplexing picture.
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