scholarly journals Acceleration of Calculation for Field of Visual Perception on Digital Image and Verification of the Application to Halftone Image

2017 ◽  
Vol 16 (2) ◽  
pp. 209-218
Author(s):  
Naoyuki AWANO
Keyword(s):  
Visual Perception ◽  
Digital Image ◽  
Halftone Image

scholarly journals Denoising Algorithm Based on Generalized Fractional Integral Operator with Two Parameters

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Hamid A. Jalab ◽  
Rabha W. Ibrahim
Keyword(s):  
Visual Perception ◽  
Integral Operator ◽  
Image Denoising ◽  
Digital Image ◽  
Fractional Integral ◽  
Fractional Integral Operator ◽  
Smoothing Filter ◽  
Generalized Fractional Integral ◽  
Two Parameters

In this paper, a novel digital image denoising algorithm called generalized fractional integral filter is introduced based on the generalized Srivastava-Owa fractional integral operator. The structures ofn×nfractional masks of this algorithm are constructed. The denoising performance is measured by employing experiments according to visual perception and PSNR values. The results demonstrate that apart from enhancing the quality of filtered image, the proposed algorithm also reserves the textures and edges present in the image. Experiments also prove that the improvements achieved are competent with the Gaussian smoothing filter.

Study on the Assessment Method of Print Mottle Using Discrete Wavelet Analysis

2012 ◽  
Vol 262 ◽  
pp. 177-180
Author(s):  
Guo Dong Liu ◽  
Mei Yun Zhang ◽  
Qiao Ping Liang
Keyword(s):  
Visual Perception ◽  
Wavelet Analysis ◽  
Digital Image ◽  
Evaluation Method ◽  
Assessment Method ◽  
Discrete Wavelet ◽  
Print Quality ◽  
Visual Evaluation ◽  
Discrete Wavelet Analysis ◽  
Common Problems

Aiming at one of most common problems of print quality, print mottle, the evaluation method for print mottle is proposed by means of discrete wavelet analysis, in which the index of print mottle is built on the base of the coefficient of variance of denosing digital image. Then, it was applied on offset paper to check its performance. The analytical results compared with visual perception shows that the assessment method proposed is effective and practical in measuring printing mottle. The correlations with visual evaluation are over 0.76.

scholarly journals Compensation of defects in printing process with histogram methods

2020 ◽  
Author(s):  
Ekaterina Pukhova ◽  
◽  
Vladislav Vereshchagin ◽  
Keyword(s):  
Standard Deviation ◽  
Visual Perception ◽  
Digital Image ◽  
Suggested Method ◽  
Correction Function ◽  
Measurement Equipment ◽  
Gaussian Filter ◽  
Distribution Histogram ◽  
Different Types ◽  
Increasing Process

A method of image preparation for printing reproduction is suggested. This method allows to automatically compensate transformations that occur during reproduction, by analyzing a histogram of test chart image and based on it, creating a compensation pre-correction function. It also takes into consideration the visual perception of images. Pre-correction function is applied to images at the prepress stage after all other corrections. It is aimed to compensate defects, occurring at the printing stage, caused by the process of tone value increase and restriction of tonal range reproduction. It is suggested to use a test chart, which is a gradient with an even increase of lightness in the range from 0 to 255. After printing the test chart its digital image is created by scanning. Then Gaussian filter is applied to the image with parameters according to the visual perception, and lightness distribution histogram is calculated. This histogram will have changes in lightness distribution in comparison with the original digital image. These changes will correspond to the influence of tone value increasing process during printing. The cumulative sum is calculated from the received histogram, and the pre-correction is being formed. And this precorrection applies to an image, prepared for printing in similar conditions as test chart. The algorithm was written on Python and allows to create a pre-correction using a press sheet with the test chart. It is shown that the use of the suggested method gives a positive result and doesn’t require expensive measurement equipment. Having a scanner calibrated for linear transmission of lightness and developed programming module is enough. This method was tested on electrographic printing equipment on three different types of paper. Statistic parameters of a histogram, such as mean, standard deviation and the Skewness, were used for evaluation. It is shown that the suggested method can be used as part of an automatized system based on histogram methods for image preparation before printing.

Differential contrast imaging with differential hysteresis processing

1996 ◽  
Vol 54 ◽  
pp. 622-623
Author(s):  
Klaus-Ruediger Peters
Keyword(s):  
Visual Perception ◽  
Digital Image ◽  
Source Size ◽  
Linear Scaling ◽  
Contrast Imaging ◽  
Imaging Parameter ◽  
Spacial Information

The spacial information of images can be characterized with contrast patterns. We analyzed the spacial contrast distribution in micrograph data with differential hysteresis processing using a PiXISION-AP128 imaging workstation (JEOL USA Inc., Peabody, MA) and found that discrete spacial image components have discrete contrast characters which are defined by specific contrast levels and specific contrast ranges. Consecutive contrast segmentation at increasing contrast levels produced a limited number of contrast patterns which were discretely recognizable and distinguishable. These contrast patterns have an unique accumulative property, i.e., a digital image can be segmented into contrast patterns and reassembled from its contrast patterns. Contrast patterns can be mathematically defined by a differential hysteresis range (DHR). The DHR (DHR x-y) describes differential contrasts of a pattern with two intensity values as contrasts which are larger than the first value (x) and smaller than the second value (y). The contrast patterns can be visualized as images through linear scaling to the maximum visual perception range (8-bit). The DHR provides an universal imaging parameter since it applies to all images independent of source, size, bit depth, and spacial content.

Developing an inkjet printer III: Multibit CMY halftones to hardware-ready bits

2020 ◽  
Vol 2020 (15) ◽  
pp. 352-1-352-9
Author(s):  
Sige Hu ◽  
Daulet Kenzhebalin ◽  
Bakedu Choi ◽  
George Chiu ◽  
Zillion Lin ◽  
...  
Keyword(s):  
Digital Image ◽  
Halftone Image ◽  
The World ◽  
Inkjet Printers ◽  
Inkjet Printer ◽  
Printing Method

Nowadays, inkjet printers are widely used all around the world. But how do they transfer the digital image to a map that can control nozzle firing? In this paper, we briefly illustrate that part of the printing pipeline that starts from a halftone image and end with Hardware Ready Bits (HRBs). We also describe the implementation of the multi-pass printing method with a designed print mask. HRBs are used to read an input halftone CMY image and output a binary map of each color to decide whether or not to eject the corresponding color drop at each pixel position. In general, for an inkjet printer, each row of the image corresponds to one specific nozzle in each swath so that each swath will be the height of the printhead [1]. To avoid visible white streaks due to clogged or burned out color nozzles, the method called multi-pass printing is implemented. Subsequently, the print mask is introduced so that we can decide during which pass each pixel should be printed.

scholarly journals The Use of Digital Image Art under Visual Sensing Technology for Art Education

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Wenli Mao ◽  
Bingyu Zhang
Keyword(s):  
Visual Perception ◽  
Art Education ◽  
Light Source ◽  
Digital Image ◽  
Color Correction ◽  
Correction Algorithm ◽  
Object Surface ◽  
Vision Sensing ◽  
Visual Sensing ◽  
Sensing Technology

The traditional art education model often cannot achieve good teaching results due to the development of digital technology. Art is integrated with technology based on three-dimensional (3D) panoramic vision sensing technology, so as to study the application of the combination of visual sensing technology and digital image art in the field of art education. With the application of projection virtual game “Whac-A-Mole” as an example, the integration of panoramic color volume structured light generation technology with single emission point and omnidirectional visual imaging technology with single view is proposed; the mathematical model of the active vision system is established, and the camera model, projector model, object surface illumination model, and their relationship are studied. On this basis, the mathematical relationship between the color of the projected light source and the color of the corresponding imaging point is proposed; a light source color correction algorithm based on the two-color reflection model is proposed. The object surface color is corrected by three-channel reflectance after the light source color correction algorithm is used for correction. The results suggest that the 3D panoramic vision sensing technology makes the current active stereo vision develop from the visual perception of surface structure to the visual perception of volume structure and reduces the error rate of recognition from 44% to 11%. Moreover, the algorithm does not need to know the coding method of the projected light source and the surface material of the object in advance. The scene teaching combined with technology overcomes the limitations of the teaching site and brings students into a completely realistic teaching situation. The presentation of digital image art using visual sensing technology can inspire children’s imagination, combine education and games, and perform edutainment. Thereby, the application research of digital image art based on 3D panoramic visual sensing technology has an irreplaceable development prospect in the field of art education.

An Overview of Digital Image Processing and Recognition (Invited Paper)

1982 ◽  
Vol 40 ◽  
pp. 700-702
Author(s):  
R. C. Gonzalez
Keyword(s):  
Image Processing ◽  
New York ◽  
Digital Image Processing ◽  
Digital Image ◽  
Practical Implementation ◽  
Submarine Cable ◽  
Vigorous Growth ◽  
Digitized Pictures ◽  
Processing Techniques ◽  
And Storage

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.

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