Y. H. Dandawate

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This paper presents compression of color images using vector quantization (VQ). Being vector quantization is lossy compression technique, the quality of the decompressed images is degraded. In order to achieve trade off between quality of compression along with good compression ratio, the vector quantizer must be designed optimally. In this paper, we have(More)
This paper presents a novel approach for designing an enhanced vector quantizer (VQ) used for compression of images. The main aim of this paper is to propose a method for efficient VQ design, which will be well applicable to all kinds of images including medical images. For the performance evaluation of images, different quality measures along with(More)
This paper presents a novel technique of improving the quality of decompressed color images. For compression of images vector quantization (VQ) technique is used in which an enhanced vector quantizer (codebook) is designed using Kohonen 's self organizing feature maps(SOFM) neural networks. While designing the vector quantizer, the training of the self(More)
The paper discusses wide variety of ways in which multispectral satellite images are being utilized in coastline and river detection. Flooding is a major problem in which causes distraction to the natural resources. River detection in satellite images is useful in flood monitoring, tracing sedimentation along the river bank and tracking dry outs of the(More)
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