NDLI: An Optimized Fast Discrete Cosine Transform Approach with Various Iterations and Optimum Numerical Factors for Image Quality Evaluation

Content Provider	IEEE Xplore Digital Library
Author	Nagaria, B. Hashmi, M.F. Patidar, V. Jain, N.
Copyright Year	2011
Abstract	In this paper, we have discussed the comparative study of Fast Discrete Cosine Transform (FDCT).The proposed Algorithm investigate the performance evaluation of quantization based Fast DCT and variable block size with different no of iterations based image compression Techniques. This paper has been devoted to improve image compression at low lower no of iterations and higher pixel values. The numerical analysis of such algorithms is carried out by measuring Peak Signal to Noise Ratio (PSNR), Compression Ratio (CR) and CPU processing time. In this paper we have elaborated about the compression ratio with different no iterations. We can evaluate the higher compression ratio results more effectively with lower iteration and higher pixel values than that of quality of image respectively. Image quality will be degraded at higher iteration but compression ratio is better as compare to other algorithms. Different no of iterations and quantized matrix and variable block size are chosen using FDCT for calculating MSE, PSNR and Compression Ratio for achieving the highest image quality and Compression Ratio under the same algorithm. The proposed algorithm significantly raises the PSNR and minimizes the MSE at lower iterations but as above discussion main theory is that Compression Ratio increases at higher iterations and quality of image will not be maintained at higher iterations. We have also calculated the CPU processing time for processing of image compression to find the complexity of algorithm. We have Tested this algorithm two test Images fruit with 512X512 pixel frame and Lena image with 256X256 pixel frames. Thus, we can also conclude that at the same compression ratio the difference between original and decompressed image goes on decreasing, as there is increase in image resolution.
Starting Page	158
Ending Page	162
File Size	655353
Page Count	5
File Format	PDF
ISBN	9781457720338
e-ISBN	9780769545875
DOI	10.1109/CICN.2011.31
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	PSNR Fast discrete cosine transform (FDCT) Compression ratio (CR) Pixel frames Quantization Mean square error (MSE) Image reconstruction Image quality Image coding CPU processing time Transform coding Discrete cosine transforms Iterations Peak signal to noise ratio (PSNR)
Content Type	Text
Resource Type	Article

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