A Survey on Image Compression Methods with PCA & LDA

Rakhi Seth, Sanjivani Shantaiya

Abstract: This research paper presents extensive survey on various techniques of Image Compression using both PCA and LDA. LDA utilizes the label information in finding informative projection. It is used to find a linear combination of features which characterizes or separates two or more classes of objects or events. PCA is a statistical tool, which may increase the efficiency. In the study it may come as an aspect that it can be used as a combined approach in Image Compression also.

Keywords: Image Compression, Principal Component Analysis PCA, Linear Discriminant Analysis LDA, Lossless Compression, Lossy Compression

How to Cite?: Rakhi Seth, Sanjivani Shantaiya, "A Survey on Image Compression Methods with PCA & LDA", Volume 4 Issue 4, April 2015, International Journal of Science and Research (IJSR), Pages: 274-277, https://www.ijsr.net/getabstract.php?paperid=SUB152817, DOI: https://dx.doi.org/10.21275/SUB152817