This paper described various blur detection methods along with proposed method. Digital photos are massively produced while digital cameras are becoming popular; however, not every photo has good quality. Blur is one of the conventional image quality degradation which is caused by various factors like limited contrast; inappropriate exposure time and improper device handling indeed, blurry images make up a significant percentage of anyone's picture collections. Consequently, an efficient tool to detect blurry images and label or separate them for automatic deletion in order to preserve storage capacity and the quality of image collections is needed. There are various methods to detect the blur from the blurry images some of which requires transforms like DCT or Wavelet and some doesn?t require transform.
@artical{r242013ijcatr02041019,
Title = "Blur Detection Methods for Digital Images-A Survey",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "2",
Issue ="4",
Pages ="495 - 498",
Year = "2013",
Authors ="Rupali Yashwant Landge Rakesh Sharma"}