An area and power efficient adder-based stepwise linear interpolation for digital signal processing

Huang, Chung-Hsun; Chang, Chao-Yang

doi:10.1109/tce.2016.7448565

Cited by 6 publications

(2 citation statements)

References 14 publications

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“…erefore, the methods need to convert the acquired paper images into digital images and use a hand-held tracking digitizer to generate coordinate data by manually selecting points or tracking line segments. Generally used for relatively regular images or images with unsatisfactory original quality, graphics editing software can be used to edit and modify [19]. e methods use a scanner to scan the obtained drawing and save it as a raster image, and then use other image processing software to further process to improve the image quality, such as graphic stitching, noise reduction, thinning, etc., and then register the raster image.…”

Section: Simulation Experiments and Results Analysismentioning

confidence: 99%

[Retracted] Processing Methods for Digital Image Data Based on the Geographic Information System

Chen

et al. 2021

Complexity

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Digital image data processing is mainly to input digital image data into a computer to complete the conversion of a continuous spatially distributed image model into a discrete digital model so that the computer can identify, process, and store the processing process of digital image information. Geographic information system (GIS) is a computer system that integrates multiple forms of information expression, and it integrates functions such as collection, processing, transmission, storage, management, analysis, expression, and query retrieval, which can quickly discover the spatial distribution of things and their attributes and can express the results accurately and vividly in various intuitive forms. Therefore, on the basis of summarizing and analyzing previous research works, this paper expounded the research status and significance of processing methods for digital image data, elaborated the development background, current status, and future challenges of the GIS technology, introduced the methods and principles of permutation matrix algorithm and subimage averaging method, constructed the processing model for digital image data based on GIS, analyzed the data structure and its database establishment for digital image, proposed the processing methods for digital image data based on GIS, performed the enhancement processing and calculation classification of digital image data, and finally conducted a case analysis and its result discussion. The study results show that the proposed processing methods for digital image data based on GIS can perform analogue-to-digital conversion of continuous images, complete the steps of sampling, layering, and quantization, and then encode the obtained discrete digital signal into the computer to form an in-plane collection of pixels; this processing method can also organically combine spatial information and image data and identify, process, and store digital image data from both spatial and attribute aspects. The study results of this paper provide a reference for further research on the processing methods for digital image data based on GIS.

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Section: Simulation Experiments and Results Analysismentioning

confidence: 99%

[Retracted] Processing Methods for Digital Image Data Based on the Geographic Information System

Chen

et al. 2021

Complexity

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“…Finally, our simulation results were published as a journal article [27] and in IEEE proceedings [28] and were one of the first pieces of academic literature in this novel field. Recent publications in the same field have cited our work [77,78,79] thus proving that this work is advancing human knowledge in this particular field. The conclusions obtained by our sensitivity study are consistent with recent published academic literature studying the role of fringing fields in capacitive touch sensitivity [74].…”

Section: Validation Of Proposed Methodologysupporting

confidence: 57%

Large-scale capacitive touch panels : sensor pattern design, sampling and interpolation

Akhtar¹

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Image Interpolation Using Non-adaptive Scaling Algorithms for Multimedia Applications—A Survey

Neetha¹,

Moses²,

Selvathi³

2021

Advances in Automation, Signal Processing, Instrumentation, and Control

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An area and power efficient adder-based stepwise linear interpolation for digital signal processing

Cited by 6 publications

References 14 publications

[Retracted] Processing Methods for Digital Image Data Based on the Geographic Information System

[Retracted] Processing Methods for Digital Image Data Based on the Geographic Information System

Large-scale capacitive touch panels : sensor pattern design, sampling and interpolation

Image Interpolation Using Non-adaptive Scaling Algorithms for Multimedia Applications—A Survey

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