Context coding of depth map images under the piecewise-constant image model representation
This paper introduces an efficient method for lossless compression of depth map images,
using the representation of a depth image in terms of three entities: 1) the crack-edges; 2) …
using the representation of a depth image in terms of three entities: 1) the crack-edges; 2) …
Bayesian predictor combination for lossless image compression
A Martchenko, G Deng - IEEE transactions on image …, 2013 - ieeexplore.ieee.org
Adaptive predictor combination (APC) is a framework for combining multiple predictors for
lossless image compression and is often at the core of state-of-the-art algorithms. In this …
lossless image compression and is often at the core of state-of-the-art algorithms. In this …
ZLS: An Efficient Lossless Compression for Depth-Video Streaming
This paper introduces an efficient compression scheme—Z-lossless (ZLS)—for video
applications with depth streams. ZLS utilizes a novel histogram compression module …
applications with depth streams. ZLS utilizes a novel histogram compression module …
A survey of image compression methods for low depth-of-field images and image sequences
S Kavitha, RJ Anandhi - Multimedia Tools and Applications, 2015 - Springer
The popularity of multimedia applications has resulted in development of lossless and lossy
compression techniques. Many image compression methods clustered under these two …
compression techniques. Many image compression methods clustered under these two …
Anchor points coding for depth map compression
The paper deals with encoding the contours of given regions in an image. All contours are
represented as a sequence of contour segments, each such segment being defined by an …
represented as a sequence of contour segments, each such segment being defined by an …
Patch-based conditional context coding of stereo disparity images
I Tabus - IEEE Signal Processing Letters, 2014 - ieeexplore.ieee.org
This letter proposes a method for lossless coding the left disparity image, L, from a stereo
disparity image pair (L, R), conditional on the right disparity image, R, by keeping track of the …
disparity image pair (L, R), conditional on the right disparity image, R, by keeping track of the …
Lossy and near-lossless compression of depth images using segmentation into constrained regions
This paper presents a lossy coding method for depth images using a segmentation
constructed by selecting regions of pixels having the depth values obeying constraints …
constructed by selecting regions of pixels having the depth values obeying constraints …
[PDF][PDF] Lossless contour compression using chain-code representations and context tree coding
In this paper we experimentally study the context tree coding of contours in two alternative
chain-code representations. The contours of the image regions are intersecting, resulting in …
chain-code representations. The contours of the image regions are intersecting, resulting in …
Quaternary Crack-Edge Representation for Lossless Contour Compression
We present a method for lossless compression of contours in images using a specific crack-
edge representation, where each horizontal binary crack-edge is bundled together with a …
edge representation, where each horizontal binary crack-edge is bundled together with a …