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Patent

Block noise level evaluation method for compressed images and control method of imaging device utilizing the evaluation method

TLDR
In this article, the authors converted an object RGB image into an image in a YIQ color space, and computed a smoothness degree of luminance variation at the target pixel as summation of absolute values of differences between luminance variations at each target pixel and adjacent pixels.
Abstract
The technique of the invention converts an object RGB image into an image in a YIQ color space, calculates a luminance variation at each target pixel from Y channel values of the target pixel and an adjacent pixel adjoining to the target pixel, and computes a smoothness degree of luminance variation at the target pixel as summation of absolute values of differences between luminance variations at the target pixel and adjacent pixels. A block noise evaluation value B is obtained as a ratio of an average smoothness degree ave(psx), ave(psy) of luminance variation for boundary pixels located on each block boundary to an average smoothness degree ave(nsx), ave(nsy) of luminance variation for inner pixels not located on the block boundary. The block noise evaluation value B closer to 1 gives an evaluation result of a lower level of block noise, whereas the block noise evaluation value B closer to 10 gives an evaluation result of a higher level of block noise.

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Citations
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References
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Patent

Method and apparatus for compressing and decompressing images of documents

TL;DR: In this article, a method and apparatus for compressing images having a binary extractor, a binary compressor and a JPEG compressor was presented. But this method was not suitable for image segmentation.
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TL;DR: A method of reducing artifacts in an image previously processed by block transform encoding may comprise the steps of: determining block boundaries, determining an approximate metric of artifact visibility, optionally interpolating across block boundaries; adaptively filtering luminance; optionally adjust local saturation variation; and adaptively simulating high spatial frequency image detail; wherein the adaptive steps are executed to an extent or in an amount depending on the metric or standard or measurement of artifacts visibility as discussed by the authors.
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Reducing blocking and ringing artifacts in low-bit-rate coding

TL;DR: In this article, a technique to reduce blocking and ringing artifacts in low bit-rate block-based video coding is applied to each reconstructed frame output from the decoder, where the predicted AC coefficients are used to classify each reconstructed block as either a low-activity or a high-activity block.
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Blind signal processing system employing information maximization to recover unknown signals through unsupervised minimization of output redundancy

TL;DR: In this article, a neural network system and unsupervised learning process for separating unknown source signals from their received mixtures by solving the Independent Components Analysis (ICA) problem was proposed, which can be easily adapted to solve the related blind deconvolution problem that extracts an unknown source signal from the output of an unknown reverberating channel.
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Method and apparatus for processing block coded image data to reduce boundary artifacts between adjacent image blocks

TL;DR: In this paper, a local pixel is selected from a first block of pixels and at least one external pixel from the second block is selected to reduce the difference between the local pixel and the selected external pixel(s).