56 research outputs found
Low-complexity high-performance multiscale error diffusion technique for digital halftoning
Version of RecordPublishe
P-HIP: A Multiresolution halftoning algorithm for progressive display
This thesis describes and implements an algorithmic framework for memory efficient, \u27on-the-fly\u27 halftoning in a progressive transmission environment. Instead of a conventional approach which repeatedly reconstructs the continuous tone image from memory and subsequently halftones it for display, the proposed method achieves significant memory efficiency by storing only the halftoned image and updating it in response to additional information received through progressive transmission. Thus the method requires only a single frame-buffer of bits for storage of the displayed binary image and no additional storage is required for the contone data. The additional image data received through progressive transmission is accommodated through in-place updates of the buffer. The method is thus particularly advantageous for high resolution bi-level displays where it can result in significant savings in memory. The proposed framework is implemented using a suitable multi-resolution, multi-level modification of error diffusion that is motivated by the presence of a single binary frame-buffer. Aggregates of individual display bits constitute the multiple output levels at a given resolution. This creates a natural progression of increasing resolution with decreasing bit-depth. Output images are shown to be comparable in terms of quality to those obtained from the conventional Floyd Steinberg error diffusion algorithm
A technique for producing scalable color-quantized images with error diffusion
Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering2006-2007 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe
Robust Phase Retrieval with Green Noise Binary Masks
Phase retrieval with pre-defined optical masks can provide extra constraint
and thus achieve improved performance. The recent progress in optimization
theory demonstrates the superiority of random masks in phase retrieval
algorithms. However, traditional approaches just focus on the randomness of the
masks but ignore their non-bandlimited nature. When using these masks in the
reconstruction process for phase retrieval, the high frequency part of the
masks is often removed in the process and thus leads to degraded performance.
Based on the concept of digital halftoning, this paper proposes a green noise
binary masking scheme which can greatly reduce the high frequency content of
the masks while fulfilling the randomness requirement. The experimental results
show that the proposed green noise binary masking scheme outperform the
traditional ones when using in a DMD-based coded diffraction pattern phase
retrieval system
Novel methods in image halftoning
Ankara : Department of Electrical and Electronics Engineering and Institute of Engineering and Science, Bilkent Univ., 1998.Thesis (Master's) -- Bilkent University, 1998.Includes bibliographical references leaves 97-101Halftoning refers to the problem of rendering continuous-tone (contone) images on display and printing devices which are capable of reproducing only a limited number of colors. A new adaptive halftoning method using the adaptive QR- RLS algorithm is developed for error diffusion which is one of the halftoning techniques. Also, a diagonal scanning strategy to exploit the human visual system properties in processing the image is proposed. Simulation results on color images demonstrate the superior quality of the new method compared to the existing methods. Another problem studied in this thesis is inverse halftoning which is the problem of recovering a contone image from a given halftoned image. A novel inverse halftoning method is developed for restoring a contone image from the halftoned image. A set theoretic formulation is used where sets are defined using the prior information about the problem. A new space domain projection is introduced assuming the halftoning is performed ,with error diffusion, and the error diffusion filter kernel is known. The space domain, frequency domain, and space-scale domain projections are used alternately to obtain a feasible solution for the inverse halftoning problem which does not have a unique solution. Simulation results for both grayscale and color images give good results, and demonstrate the effectiveness of the proposed inverse halftoning method.Bozkurt, GözdeM.S
Watermarking-Based Inpainting Under Data Transmition Environment
[[abstract]]This studyb proposes a novel image inpainting technique based on watermarking and halftoning. This technique use LSB method to embed error diffusion halftone image into
original image for protecting the image. In image repair process, we use LSB method to extract the halftone information, and the reference image is achieved from LUT inverse halftone. Finally we use the reference imageto finish the image inpainting work. Experiment shows the performance of our method is very excellent in image inpainting.[[conferencetype]]國際[[conferencedate]]20101206~20101208[[booktype]]電子版[[iscallforpapers]]Y[[conferencelocation]]Chengdu, Chin
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