• Badri Sai sri
• Karthick Ganeshan
• Shamanthula Manoj
• Kaasam Bhagya sree
• Thirunahari Vaishnavi

Compression indicates the decreasing in size of image without decreasing the quality of the input image. The widely addressed researched area in the application of compression on images is Image compression. The importance of compression of image is to decrease the redundancy and irrelevancy in the image given as input, such that the image can be collected and can be transmitted substantially. There are several compression standards present in this compression of image but even there is a scope for high compression in quality of reconstructed image. The image compression contains two techniques depending on the compressed image, to be exactly same as the original such as lossy techniques and lossless techniques. The DCT(Discrete cosine transform) can be used by JPEG in the compression of images. Different aspects in image compression gives wavelet image compression introduction. The results thus obtained from the output proves the analysis of compression using DCT and DWT depending on the PSNR, MSE values as well as the compression ratio without the image quality degradation.

Image Compression, Discrete wavelet transform, Discrete cosine transform

"COMPARATIVE PERFORMANCE ANALYSIS OF DISCRETE COSINE TRANSFORM AND WAVELET BASED IMAGE COMPRESSION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.406-412, March-2019, Available :http://www.jetir.org/papers/JETIRAU06057.pdf

"COMPARATIVE PERFORMANCE ANALYSIS OF DISCRETE COSINE TRANSFORM AND WAVELET BASED IMAGE COMPRESSION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp406-412, March-2019, Available at : http://www.jetir.org/papers/JETIRAU06057.pdf