using FFT(fast Fourier transformation) at high speed (1), to estimate the density functions as not stepped lines but smooth curved lines (2), and to decide a cutoff frequency by using the similarity between the density functions and the density histogram of a quantized image as scales (3)....
S. Kumar , "Image compression and Watermarking Scheme using scalar Quantization", The International Journal of Next Generation Network , vol. 2, no. 1, pp. 37-47,2010.Dr.K.Veera swamy, Dr.B.Chandra Mohan,Y.V.Bhaskar Reddy and Dr.S.Srinivasa Kumar, Image Compression and Watermarking ...
将计算从解码器转移到编码器,加快解码速度 为实现可变速率图像压缩,提出自适应归一化层AdaLN 总的来说,提出一种新的神经网络模型(QARV)。他的设计更简单,没有上下文模型;更灵活,速率可变,具有层次结构。 与现有模型相比,具有快速地CPU解码。 模型结构 熵编码是如何进行的 使用N个潜变量的层次结构,记为Z1,Z2,...
QVRF: A Quantization-error-aware Variable Rate Framework for Learned Image Compression 简介 在本文中,作者提出了一种基于端到端图像压缩网络的量化误差感知可变速率框架 (QVRF)。具体来说,QVRF 定义了一个单变量量化调整因子来控制所有潜在变量的量化误差,从而在单个模型中实现可变比特率。作者建立了量化调整因子...
Image Compression Using DWT and Vector Quantization. International Journal of Innovative Research in Computer and Communication Engineering. 2013; 1(3).Tejas S. Patel , Ravindra Modi, Keyur J. Patel, "Image Compression Using DWT and Vector Quantization", International Journal of Innovative Research ...
Image Compression Using DWT and Vector Quantization Ideally, an image compression technique removes redundant and/or irrelevant information, and efficiently encodes what remains. Image compression is most important for efficient transmission and storage space of images. Image compression ... TS Patel,R ...
Image compression will be treated in a different chapter of this book. Here we only consider the problem of image quantization in the context of halftoning and color quantization. Generally, we formulate the problem as follows: Given an image f(n1, n2) of size N1 by N2, where each pixel ...
Vector quantization is one approach to image compression, the coding of an image so as to preserve the maximum possible quality subject to the available storage or communication capacity. In its most general form, vector quantization includes most algorithms for data compression as structured special ...
An image compression scheme is introduced which involves a multiresolution decomposition derived from the wavelet transform. The use of this transformation in image coding is motivated by its similarity to the processing which occurs at the cortical level of the visual system and by the fact that ...
Until we start seeing games with a serious amount of geometry, the greatest slice of the memory pie will belong to textures. The hundreds of megabytes of stuff coming from the art quarters must be compressed. Conventional image-compression algorithms are