Comparative Study Of Different Quality Assessment Techniques On Color Images

References

[1] Kim-Han Thung, Paramesran Raveendran, ―A Survey of Image Quality Measures, ‖ IEEE Technical Postgraduates (TECHPOS) international conference, 2009, pp.1-4.

[2] Anish Mittal, Anush Krishna Moorthy and Alan Conrad Bovik, ― No-Reference Image Quality Assessment in the Spatial Domain, ‖ IEEE Transactions on Image Processing, December 2012, vol.21, no.12.

[3] Al-Najjar, Soong Der Chen, ―Comparison of Image Quality Assessment: PSNR, HVS, SSIM, UIQI, ‖ International Journal of Scientific & Engineering Research, August 2012, vol.3, no.3.

[4] Erich L. Lehmann, George Casella, ―Theory of Point Estimation (2nd edition), ‖ Springer, 1998.

[5] Huynh-Thu, Q. Ghanbari, ―Scope of validity of PSNR in image/video quality assessment, ‖ Electronics Letters, February 2008, vol.44, no.13.

[6] Welstead, T Stephen, ―Fractal and wavelet image compression techniques, ‖ SPIE Press, December 1999, vol.TT40, pp. 155– 156.

[7] Anson, L.F., ―Fractal Image Compression, ‖ BYTE, October 1993, pp. 195-202.2.

[8] N. Thomos, N.V. Boulgouris and M.G. Strintzi, ―Optimized Transmission of JPEG2000 Streams Over Wireless Channels, ‖ IEEE Transactions on Image Processing, January 2006, vol.15, no.1.

[9] L. Xiangjun, C. Jianfei, ―Robust transmission of JPEG2000 encoded images over packet loss channels, ‖ ICME 2007, pp.947-950, School of Computer Engineering, Nanyang Technological University.

[10] Zhengfang Duanmu, Kede Ma and Zhou Wang, ―Quality-of-Experience of Adaptive Video Streaming: Exploring the Space of Adaptation, ‖ Mountain view, CA, USA, October 2017.

[11] Richard Dosselmann, Xue Dong Yang, ‖ Signal, Image and Video Processing, March 2011, vol.5, no.1, pp.81–91.

[12] Zhou Wang, Eero P. Simoncelli and Alan C. Bovik, ―Multiscale structural similarity for image quality assessment, ‖ Proceedins of 37th IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, November 2003,vol.2, pp.1398–1402.

[13] Chaofeng Li, Alan Conrad Bovik, ‖ Journal of Electronic Imaging, January 2010, vol.19, no.1, pp.011003-9.

[14] Alan C Brooks, Xiaonan Zhao and Thrasyvoulos N Pappas, ―Structural similarity quality metrics in a coding context: exploring the space of realistic distortions, ‖ IEEE Transactions on image processing, August 2008, vol.17, no.8, pp. 1261-1273.

[15] Rohit Kumar, Vishal Moyal, ―Visual Image Quality Assessment Technique using FSIM, ‖ International Journal of Computer Applications Technology and Research, vol.2, no. 3, pp. 250 - 254, 2013.

@article{1701217,
      author = {Umme Sara},
      title = {Comparative Study Of Different Quality Assessment Techniques On Color Images},
      journal = {Iconic Research And Engineering Journals},
      year = {2019},
      volume = {2},
      number = {11},
      pages = {127-133},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1701217.pdf},
      abstract = {Image is one of the major particles used in digital image processing. Quality of the images is the standard measure of the experiments to expect the most desirable outcome. Different quality assurance techniques are MSE (Mean Squared Error), PSNR (Peak Signal to Noise Ratio), SSIM (Structural Similarity Index Method) and FSIM (Feature Similarity Index Method).These methods are used to maintain the quality of images and correct the noise from images with the help of filters. These Techniques are applied depending on the benchmark of structural and feature similarity between the original and obtained images.},
      keywords = {Image Quality, Computer Simulation, Gaussian noise, Gaussian Filter},
      month = {May},
  }