Fundamentals of digital image processing
Fundamentals of digital image processing
Vector quantization and signal compression
Vector quantization and signal compression
A multiscale model of adaptation and spatial vision for realistic image display
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Principles of Digital Audio
Foundations of Quantization for Probability Distributions
Foundations of Quantization for Probability Distributions
Gradient domain high dynamic range compression
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Fast bilateral filtering for the display of high-dynamic-range images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Photographic tone reproduction for digital images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
A Visibility Matching Tone Reproduction Operator for High Dynamic Range Scenes
IEEE Transactions on Visualization and Computer Graphics
Guest Editors' Introduction: Imaged-Based Modeling, Rendering, and Lighting
IEEE Computer Graphics and Applications
Compressing and companding high dynamic range images with subband architectures
ACM SIGGRAPH 2005 Papers
Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures
Neural Computation
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Tone Mapping for HDR Image using Optimization A New Closed Form Solution
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Recovering high dynamic range radiance maps from photographs
ACM SIGGRAPH 2008 classes
Optimal companding vector quantization for circularly symmetric sources
Information Sciences: an International Journal
Tone-mapping high dynamic range images by novel histogram adjustment
Pattern Recognition
HDR image tone mapping using histogram adjustment adapted to human visual system
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
IEEE Transactions on Information Theory
A multiscale retinex for bridging the gap between color images and the human observation of scenes
IEEE Transactions on Image Processing
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
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Quantization is fundamental to analog-to-digital converter (ADC) and signal compression. In this paper, we propose an adaptive quantizer with piecewise companding and scaling for signals of Gaussian mixture model (GMM). Our adaptive quantizer operates under three modes, each of which corresponds to different types of GMM. Moreover, we propose a reconfigurable architecture to implement our adaptive quantizer in an ADC. We also use it to quantize images and design the tone mapping algorithm for high dynamic range (HDR) image compression. Our experimental results show that (1) the proposed quantizer is able to achieve performance close to the optimal quantizer (i.e., Lloyd-Max quantizer for GMM) in the sense of mean squared error (MSE), at much lower computational cost than it; (2) the proposed quantizer is able to achieve much better MSE performance than a uniform quantizer, at a cost similar to the uniform quantizer. The proposed adaptive quantizer holds great potential in the appilcations of the existing ADC and HDR image compression.