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Patent

Distortion-adaptive visual frequency weighting

TLDR
In this paper, a method of quantizing image data including the step of varying the magnitude of a quantization step as a function of the distortion of an image is disclosed for further visually optimizing image quantization.
Abstract
The ability of the visual system to detect contrast in an image is a function of the frequency of the contrasting pattern and the distortion of the image. The visual system is more sensitive to contrasting patterns of lower frequency. When the image is significantly distorted, the visual system is even more sensitive to lower frequencies than higher frequencies. An image encoder employs lossy data compression processes producing a distorted reconstructed image. A method of quantizing image data including the step of varying the magnitude of a quantization step as a function of the distortion of an image is disclosed for further visually optimizing image quantization. Another method utilizes distortion adaptive weighting to vary the limit of code block truncation during embedded bitstream coding to visually optimize image compression by increasing relative lossiness of compression at higher frequencies.

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Citations
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References
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Journal ArticleDOI

Visibility of wavelet quantization noise

TL;DR: A mathematical model is constructed for DWT noise detection thresholds that is a function of level, orientation, and display visual resolution that allows calculation of a "perceptually lossless" quantization matrix for which all errors are in theory below the visual threshold.
Patent

Multimedia compression system with adaptive block sizes

TL;DR: In this paper, a multimedia compression system for generating frame rate scalable data in the case of video, and, more generally, universally scalable data is presented, which is scalable across all of the relevant characteristics of the data.
Patent

Reversible wavelet transform and embedded codestream manipulation

TL;DR: In this article, a reversible wavelet filter is used to generate coefficients from input data such as image data and an entropy coder performs entropy coding on the embedded codestream to produce the compressed data stream.
Patent

Multiple description transform coding of images using optimal transforms of arbitrary dimension

Abstract: A multiple description (MD) joint source-channel (JSC) encoder in accordance with the invention encodes n components of an image signal for transmission over m channels of a communication medium. In an illustrative embodiment which uses statistical redundancy between the different descriptions of the image signal, the encoder forms vectors from transform coefficients of the image signal separated both in frequency and in space. The vectors may be formed such that the spatial separation between the transform coefficients is maximized. A correlating transform is then applied, followed by entropy coding, grouping as a function of frequency, and application of a cascade transform. In an illustrative embodiment which uses deterministic redundancy between the different descriptions of the image signal, the encoder may apply a linear transform, followed by quantization, to generate the multiple descriptions of the image signal. For example, vectors may be formed from transform coefficients of the image signal so as to include coefficients of like frequency separated in space. The vectors are expanded by multiplication with a frame operator, and then quantized using a step size which may be a function of frequency.
Proceedings ArticleDOI

Point-wise extended visual masking for JPEG-2000 image compression

TL;DR: This paper presents a point-wise extended visual masking approach that nonlinearly maps the wavelet coefficients to a perceptually uniform domain prior to quantization by taking advantages of both self-contrast masking and neighborhood masking effects, thus achieving very good visual quality.