Extreme compression of grayscale images

Two-Stage Lossy/Lossless Compression of Grayscale Document Images

Parameterized Markov Models for Efficient Compression of Grayscale Images

Introduction. Lossless compression using finite context variable order Markov models generally achieves smaller compression ratios for small and medium sized images than for text data of the same size. This is due to 1) the larger alphabet size, 2) the enormous number of different contexts especially in higher order models, and 3) quantization noise introduced during the digitization process. T...

Lossless Compression of Grayscale Images via Context Tree Weighting

In this article we report on a study of how to use the context tree weight-ing (CTW) algorithm for lossless image compression. This algorithm has been shown to perform optimally, in terms of redundancy, for a wide class of data sources. Our study shows that this algorithm can successfully be applied to image compression even in its basic form. We also report on possible modiica-tions of the bas...

Wavelet-based Image Compression of Quasi Encrypted Grayscale Images

As data is exchanged quickly in electronic way, information security plays a vital role in transmission and storage. Digital images are widely used in industrial purpose, so it is necessary to protect image from unauthorized access. Quasi group encryption is used to encrypt the grayscale image to provide security during transmission. Computer images are extremely data intensive and hence requir...

Automatic Colorization of Grayscale Images Using Generative Adversarial Networks

Automatic colorization of gray scale images poses a unique challenge in Information Retrieval. The goal of this field is to colorize images which have lost some color channels (such as the RGB channels or the AB channels in the LAB color space) while only having the brightness channel available, which is usually the case in a vast array of old photos and portraits. Having the ability to coloriz...