Abstract: Deep-learned variational auto-encoders (VAE) have shown remarkable capabilities for lossy image compression. These neural networks typically employ non-linear convolutional layers for ...
Apple has announced PICO, an image compression codec that uses machine learning. Compared to AV1, AV2, VVC, ECM, and JPEG-AI, PICO can produce images of the same quality with up to one-third the data ...
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: This paper presents a new lossless color image compression algorithm, based on the hierarchical prediction and context-adaptive arithmetic coding. For the lossless compression of an RGB ...
FLIF is a lossless image format based on MANIAC compression. MANIAC (Meta-Adaptive Near-zero Integer Arithmetic Coding) is a variant of CABAC (context-adaptive binary arithmetic coding), where the ...
In 2013, workers at a German construction company noticed something odd about their Xerox photocopier: when they made a copy of the floor plan of a house, the copy differed from the original in a ...
We consider the attributes of a point cloud as samples of a vector-valued volumetric function at discrete positions. To compress the attributes given the positions, we compress the parameters of the ...
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 ...
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