scispace - formally typeset
Journal ArticleDOI

Multiscale Probabilistic Dithering for Suppressing Contour Artifacts in Digital Images

S. Bhagavathy, +2 more
- 01 Sep 2009 - 
- Vol. 18, Iss: 9, pp 1936-1945
Reads0
Chats0
TLDR
The proposed method performs a multiscale analysis on the neighborhood of each pixel, determines the presence and scale of contour artifacts, and probabilistically dithers (perturbs) the color of the pixel.
Abstract
A method is proposed for reducing the visibility of ldquocontour artifacts,rdquo i.e., false contours resulting from color quantization in digital images. The method performs a multiscale analysis on the neighborhood of each pixel, determines the presence and scale of contour artifacts, and probabilistically dithers (perturbs) the color of the pixel. The overall effect is to ldquobreak downrdquo the false contours, making them less visible. The proposed method may be used to reduce contour artifacts at the same bit depth as the input image or at higher bit depths. The contour artifact detection mechanism ensures that artifact-free regions remain unaffected during the process.

read more

Citations
More filters
Proceedings ArticleDOI

Bband index: a no-reference banding artifact predictor

TL;DR: In this paper, a distortion-specific no-reference video quality model for predicting banding artifacts, called the Blind BANding Detector (BBAND index), was proposed.
Journal ArticleDOI

Composite Model-Based DC Dithering for Suppressing Contour Artifacts in Decompressed Video

TL;DR: Experimental results demonstrate the effectiveness of the proposed block-based decontouring method both in terms of subjective quality and processing complexity in comparison with the previous methods.
Journal ArticleDOI

Deep Reconstruction of Least Significant Bits for Bit-Depth Expansion

TL;DR: A deep residual network-based method based on the different properties of flat and non-flat areas, two channels are proposed to reconstruct these two kinds of areas, respectively and can further promote the subjective quality of the flat area.
Journal ArticleDOI

Understanding and Removal of False Contour in HEVC Compressed Images

TL;DR: This work identifies the cause of false contours by explaining the human perceptual experiences on them with specific experiments, and proposes a precise pixel-based false contour detection method based on the evolution of afalse contour candidate (FCC) map.
Proceedings ArticleDOI

Advanced video debanding

TL;DR: A solution for removing banding artefacts using image filtering and dithering techniques is presented and a new banding index (BI) metric is presented for quantitatively measuring the amount of banding in an image.
References
More filters
Journal ArticleDOI

Picture coding using pseudo-random noise

TL;DR: By simply adding some noise to the signal before it is quantized and subtracting the same noise at the receiver, the quantization steps can be broken up and the source rate reduced to three bits per sample.
Proceedings ArticleDOI

A simple and efficient error-diffusion algorithm

TL;DR: A new error-diffusion scheme that is faster than the universally used Floyd-Steinberg algorithm, while maintaining its original simplicity, and applicable in a wide range of computer graphics applications, where a color quantization algorithm with good visual properties is needed.
Journal ArticleDOI

Blocking effect reduction of JPEG images by signal adaptive filtering

TL;DR: A postprocessing algorithm is proposed to reduce the blocking artifacts of Joint Photographic Experts Group (JPEG) decompressed images by consists of three stages, which reduces these blocking artifacts efficiently.
Journal ArticleDOI

A postprocessing method for reducing quantization effects in low bit-rate moving picture coding

TL;DR: According to the comparison study of PSNR and computation complexity analysis, the proposed algorithm shows better performance than the VM postprocessing algorithm, whereas the subjective image qualities of both algorithms are similar.
Proceedings ArticleDOI

Decontouring: prevention and removal of false contour artifacts

TL;DR: P predictive cancellation and its dependence on the spatial frequency localization and masking properties of the visual system are discussed, which include the optical transfer function of the eye, masking by noise, and contour integration.
Related Papers (5)