Fuzzy Morphology Based JPEG compression for Image Quality Enhancement of Noisy Images
DOI:
https://doi.org/10.26438/ijcse/v6i9.380384Keywords:
Compression, Morphology, PSNR, MSE, RMSAbstract
The extent of communicated information through internet has augmented speedily over the past few years. Image compression is the preeminent way to lessen the size of the image. JPEG is the one the best technique related to lossy image compression. In this paper a novel JPEG compression algorithm with Fuzzy-Morphology techniques was proposed. The efficacy of the proposed algorithm compared to JPEG is presented with metrics like PSNR, MSE, No of bits transmitted. The proposed approaches lessen the number of encoded bits as a result tumbling the quantity of memory needed. The Planned approaches are best appropriate for the images corrupted with Gaussian, Speckle, Poisson, Salt & Pepper noises.
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