In the present scenario when data has become digital and its transmission, reception and storage has become online, faster sending and receiving textual data or images has become top priority for every information system and thus image compression becomes a basic necessity as small size images ...
imageimage compression techniquesHuffman codingwavelete.Image compression is now essential for applications such as transmission and storage in data bases. Compression becomes very easy techniques to apply without much technical requirement. In this paper we discuss about the image classification, wavelet ...
This paper discusses a medical application thatcontains a viewer for digital imaging and communications in medicine (DICOM) images as a core module.The proposed application enables scalable wavelet-based compression, retrieval, and decompression ofDICOM medical images and also supports ROI coding/decoding...
HuffmanCoding
Fractal image compression can be obtained by dividing the original grey level image into unoverlappedblocks depending on a threshold value and the well known techniques of Quadtree decomposition. By usingthreshold value of 0.2 and Huffman coding for encoding and decoding of the image these techniques...
hybrid image compression proficiency (DWT and DCT).The objective for the wavelet coefficients of every DWT band(HH and LL) is to gain a hike on compression rates by exercising various compression thresholds whereas for maintaining the quality of reconstructed medical image DCT transfigure is applied...
The classic image compression techniques have serious limitations at high compression rate. In this paper a feed forward Networks with Back propagation Algorithm adopting the method of steepest descent is used to minimize the performance error and a lossless coding technique i.e., Huffman coding to ...
DEEP COMPRESSION: COMPRESSING DEEP NEURAL NETWORKS WITH PRUNING, TRAINED QUANTIZATION AND HUFFMAN CODING:用剪枝、训练量化和霍夫曼编码压缩深度神经网络 这篇论文是Stanford的Song Han的 ICLR2016 的 best paper 1 Abstract 论文想解决的问题? 神经网络的计算密集性以及内存密集性使得其在嵌入式设备上难以部署 论文...
Huffman coding is a method of data compression that is independent of the data type, that is, the data could represent an image, audio or spreadsheet. This compression scheme is used in JPEG and MPEG-2. Huffman coding works by looking at the data stream that makes up the file to be com...
Image compression is considered as application performed for compression of data in digital format images. Digital images are comprised with large amount of information that requires bigger bandwidth. The techniques of image compression can be generally categorized into two types: lossless & lossy techniq...