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Image quality assessment: from error visibility to structural similarity
TLDR
A structural similarity index is developed and its promise is demonstrated through a set of intuitive examples, as well as comparison to both subjective ratings and state-of-the-art objective methods on a database of images compressed with JPEG and JPEG2000. Expand
Multiscale structural similarity for image quality assessment
TLDR
This paper proposes a multiscale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of viewing conditions, and develops an image synthesis method to calibrate the parameters that define the relative importance of different scales. Expand
Image denoising using scale mixtures of Gaussians in the wavelet domain
TLDR
The performance of this method for removing noise from digital images substantially surpasses that of previously published methods, both visually and in terms of mean squared error. Expand
Image Quality Assessment: From Error Measurement to Structural Similarity
TLDR
A Structural Similarity Index is developed and its promise is demonstrated through a set of intuitive ex- amples, as well as comparison to both subjective ratings and state-of-the-art objective methods on a database of images compressed with JPEG and JPEG2000. Expand
Multi-scale structural similarity for image quality assessment
TLDR
This paper proposes a multi-scale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of viewing conditions, and develops an image synthesis method to calibrate the parameters that define the relative importance of different scales. Expand
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
TLDR
A universal statistical model for texture images in the context of an overcomplete complex wavelet transform is presented, demonstrating the necessity of subgroups of the parameter set by showing examples of texture synthesis that fail when those parameters are removed from the set. Expand
End-to-end Optimized Image Compression
TLDR
Across an independent set of test images, it is found that the optimized method generally exhibits better rate-distortion performance than the standard JPEG and JPEG 2000 compression methods, and a dramatic improvement in visual quality is observed, supported by objective quality estimates using MS-SSIM. Expand
Spatio-temporal correlations and visual signalling in a complete neuronal population
TLDR
The functional significance of correlated firing in a complete population of macaque parasol retinal ganglion cells is analysed using a model of multi-neuron spike responses, and a model-based approach reveals the role of correlated activity in the retinal coding of visual stimuli, and provides a general framework for understanding the importance of correlation activity in populations of neurons. Expand
A model of neuronal responses in visual area MT
TLDR
A computational model of MT physiology, in which local image velocities are represented via the distribution of MT neuronal responses, which is performed in two stages, corresponding to neurons in cortical areas V1 and MT. Expand
Natural image statistics and neural representation.
TLDR
It has long been assumed that sensory neurons are adapted to the statistical properties of the signals to which they are exposed, but recent developments in statistical modeling have enabled researchers to study more sophisticated statistical models for visual images, to validate these models empirically against large sets of data, and to begin experimentally testing the efficient coding hypothesis. Expand
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