- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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Switching of Wavelet Transforms by Neural Network for Image Compression
摘要： Nowadays, digital images compression requires more and more significant attention of researchers. Even when high data rates are available, image compression is necessary in order to reduce the memory used, as well the transmission cost. An ideal image compression system must yield high-quality compressed image with high compression ratio. In this article, a neural network is implemented for image compression using the feature of wavelet transform. The idea is that a back-propagation neural network can be trained to relate the image contents to its ideal compression method between two different wavelet transforms: orthogonal (Haar) and biorthogonal (bior4.4).
关键词： Scaled Conjugate Gradient,Neural Network,Image Compression,Haar Wavelet,Biorthogonal Wavelet,Back-Propagation Algorithm
更新于2025-09-04 15:30:14
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[Advances in Intelligent Systems and Computing] Recent Findings in Intelligent Computing Techniques Volume 709 (Proceedings of the 5th ICACNI 2017, Volume 3) || An Advanced Ripplet Transform Based Medical Image Compression Method
摘要： Diagnostic medical imaging is tremendously increased over past few years. It basically involves multiple images or sequence of images taken at different cross sections leading to very high volume of data. Hence, there exists a need for compression of these images for effective storage and retrieval purposes. Current compression techniques provide a very high compression rate, but with a considerable loss of image quality. In medicine, it is necessary to preserve high image quality in diagnostically important regions. In this paper, a better compression algorithm for medical images is presented to address the aforementioned challenge. The proposed is method that uses a new transformation called “Ripplet transform” that preserves inconsistencies along curves and provides high-quality decompressed image by representing images at different scales and directions. The proposed method is compared with conventional as well as current compression techniques. Better performance is observed for proposed method when assessed by qualitative and quantitative measures.
关键词： Ripplet transform,Multi-resolution,Huffman coding,Compression,Medical image
更新于2025-09-04 15:30:14