TensorFlow Compression (TFC) contains data compression tools for TensorFlow. You can use this library to build your own ML models with end-to-end optimized data compression built in. It's useful to ...

Abstract: We study the problem of compressing a block of symbols (a block quantum state) emitted by a memoryless quantum Bernoulli source. We present a simple-to-implement quantum algorithm for ...

Abstract: Context-based adaptive arithmetic coding (CAAC) has high coding efficiency and is adopted by the majority of advanced compression algorithms. In this paper, five new techniques are proposed ...

We build a state model of the DC coefficients of the entire image. On each 8x8 block in the image, we perform DCT, quantization, and run length encoding on the resulting coefficients. Normally ...

ABSTRACT: Data compression plays a key role in optimizing the use of memory storage space and also reducing latency in data transmission. In this paper, we are interested in lossless compression ...

A bitwise operator is a character that represents an action taken on data at the bit level, as opposed to bytes or larger units of data. More simply put, it is an operator that enables the ...

Georgia Tech's online master's in computer science has taken off like a rocket ship. It is the most successful degree program in the history of higher education and we should all take important ...

ABSTRACT: This paper proposes a Full Range Gaussian Markov Random Field (FRGMRF) model for monochrome image compression, where images are assumed to be Gaussian Markov Random Field. The parameters of ...