&lt;title&gt;DBS: retrospective and future directions&lt;/title&gt;

Allebach, Jan P.

doi:10.1117/12.410810

Cited by 37 publications

(19 citation statements)

References 33 publications

(81 reference statements)

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“…Pappas and Neuhoff [20] and Mulligan and Ahumada [21] proposed similar algorithms at the same time. [5] and [22] provide an in-depth treatment of DBS. DBS is an iterative, search-based halftoning algorithm that recursively uses toggles and swaps to minimize the error between the perceived continuous-tone and the perceived halftone images based on models for the rendering device and the human visual system (HVS).…”

Section: A Direct Binary Search (Dbs)mentioning

confidence: 99%

Generating Stochastic Dispersed and Periodic Clustered Textures Using a Composite Hybrid Screen

Lin

Allebach

2006

IEEE Trans. on Image Process.

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In electrophotographic printing, a periodic clustered-dot halftone pattern is preferred for a smooth and stable result. In addition, the screen frequency should be high enough to minimize the visibility of the halftone textures and to ensure good detail rendition. However, at these frequencies, the halftone cell may contain too few pixels to provide a sufficient number of distinct gray levels. This will result in contouring and posterization. The traditional solution is to grow the clusters asynchronously within a repeating block of clusters known as a supercell. The growth of each individual cluster is governed by a microscreen. The order in which the clusters grow within the supercell is determined by a macroscreen. Typically, the macroscreen is a recursive pattern due to Bayer. In highlights and shadows, this ordering results in visible artifacts. Replacing the Bayer screen by a stochastic macroscreen eliminates these artifacts, but results in new artifacts. In this paper, we propose a new composite screen architecture that employs multiple microscreens and multiple macroscreens in the highlights and shadows. These screens are jointly designed by using the direct binary search (DBS) algorithm.

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Section: A Direct Binary Search (Dbs)mentioning

confidence: 99%

Generating Stochastic Dispersed and Periodic Clustered Textures Using a Composite Hybrid Screen

Lin

Allebach

2006

IEEE Trans. on Image Process.

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“…Conventional CDOD algorithms of ordered dithering divide the original image in fixed sized cells, followed by replacing each cell with predetermined clusters of black and white pixels based on some matching criteria to form the half-tone image. Despite of simplicity and high scope of parallelism, other popular approaches such as error diffusion [4], blue noise mask [5], DBS [6], etc, outperform CDOD technique because of certain limitations associated with CDOD such as blurred appearance of the half-tone image, false contouring and objectionable patterns [7]. Significant efforts have been reported in literatures to overcome such deficiencies, and the possibility of engaging systems with adaptive behavior has also been investigated [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…i denotes the differentiation with respect to the argument and the interconnection weight updates occur during backward computation stage as represented in equation(6).…”

mentioning

confidence: 99%

Application of Recurrent Neural Network for Generating Grayscale Digital Half-Tone Images

Chatterjee

Paul

Tudu

2011

2011 Second International Conference on Emerging Applications of Information Technology

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Clustered dot ordered dithering (CDOD) is one paradigm of digital half-toning that is employed for systems which cannot produce more than two levels at display. The conventional CDOD results in major limitations i.e. visually objectionable periodic patterns, false contouring and blurred appearance of the half-tone images. Cluster generation using artificial intelligence may be a potential solution. In this paper recurrent neural network (RNN) based framework for adaptive cluster generation has been proposed. Under RNN, Elman model (Elman RNN) and Jordan model (Jordan RNN) have been employed. The implementation steps of the proposed algorithm, along with the results, have been presented. The results show that this method can avoid the major limitations of conventional CDOD methods, particularly appearance of periodic patterns and may be potentially useful in the field of digital half-toning.

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“…Iterative methods such as the direct binary search (DBS) algorithm were also reported. 15,16 In this paper, we focused our investigations on the generation of binary holograms from data acquired from a Kinect sensor. We used the depth layer approach to compute quickly a hologram of large real objects.…”

Section: Introductionmentioning

confidence: 99%

Generation of binary holograms for deep scenes captured with a camera and a depth sensor

Leportier

Park

2017

Opt. Eng

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Abstract. This work presents binary hologram generation from images of a real object acquired from a Kinect sensor. Since hologram calculation from a point-cloud or polygon model presents a heavy computational burden, we adopted a depth-layer approach to generate the holograms. This method enables us to obtain holographic data of large scenes quickly. Our investigations focus on the performance of different methods, iterative and noniterative, to convert complex holograms into binary format. Comparisons were performed to examine the reconstruction of the binary holograms at different depths. We also propose to modify the direct binary search algorithm to take into account several reference image planes. Then, deep scenes featuring multiple planes of interest can be reconstructed with better efficiency.

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<title>DBS: retrospective and future directions</title>

Cited by 37 publications

References 33 publications

Generating Stochastic Dispersed and Periodic Clustered Textures Using a Composite Hybrid Screen

Generating Stochastic Dispersed and Periodic Clustered Textures Using a Composite Hybrid Screen

Application of Recurrent Neural Network for Generating Grayscale Digital Half-Tone Images

Generation of binary holograms for deep scenes captured with a camera and a depth sensor

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