Title :
Performance analysis of JPEG algorithm
Author :
Viraktamath, S.V. ; Attimarad, Girish V.
Author_Institution :
S.D.M. Coll. of Eng. & Technol., Dharwad, India
Abstract :
Digital images contain large amount of information that need evolving effective techniques for storing and transmitting the ever increasing volumes of data. Image compression addresses the problem by reducing the amount of data required to represent a digital image. Discrete Cosine Transformation (DCT), quantization and entropy encoding are the steps in the compression of the JPEG image format. In this proposed work, the performance analysis of JPEG is carried out. Code is written for the Joint Photographic Experts Group (JPEG), the factors Compression Ratio (CR), Signal to Noise Ratio (SNR), Peak SNR (PSNR) and Mean Square Error (MSE) are studied considering different compression ratio for different images. It is found that performance will not remain same for different images even though compression factor was same.
Keywords :
data compression; discrete cosine transforms; entropy; image coding; mean square error methods; quantisation (signal); DCT; JPEG algorithm performance analysis; JPEG image format; Joint Photographic Experts Group; compression ratio; digital image; discrete cosine transformation; entropy encoding; image compression; image storage; image transmission; mean square error; quantization; signal to noise ratio; Authentication; Entropy; Image coding; Image storage; Indexes; Robustness; Transform coding; CR; Compression; DCT; JPEG; MSR; PNSR;
Conference_Titel :
Signal Processing, Communication, Computing and Networking Technologies (ICSCCN), 2011 International Conference on
Conference_Location :
Thuckafay
Print_ISBN :
978-1-61284-654-5
DOI :
10.1109/ICSCCN.2011.6024627
