• koppisetti sunad raj
• U.V. Ratna Kumari

Abstract: Image processing become a big provocation in the hypermedia usage for processing the images with lower power and higher efficiency. About an images to be refined, DCT(Discrete Cosine Transforms) are to make use for compression due to its benefit over the power energy utilization. In present methods, Approximation DCT along with fast algorithm and regular pipelining make-up for reduction change to the design complexities. In the cause of the recursive nature in the present design, high speed applications are becoming slow-moving. As an extension of this concept HAAR Wavelet transformation is used for better nature and accuracy of selected query image. HAAR wavelet method is more efficient than the Approximation in compressing color images. Here, image quality was closely maintained in difference with conservative method.

Keywords: DCT, HAAR Wavelet, Approximation, peak signal-to-noise ratio.

"Hybrid Image Compression Using HAAR and Approximate DCT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.436-441, July-2018, Available :http://www.jetir.org/papers/JETIR1807069.pdf

"Hybrid Image Compression Using HAAR and Approximate DCT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp436-441, July-2018, Available at : http://www.jetir.org/papers/JETIR1807069.pdf