Two-dimensional delta domain lattice filter and its application to adaptive image enhancement

1999 ◽  
Vol 47 (1) ◽  
pp. 266-273 ◽  
Author(s):  
C.M. Hendekli ◽  
A. Ertuzun
Keyword(s):  
Image Enhancement ◽  
Two Dimensional ◽  
Lattice Filter ◽  
Domain Lattice

Infrared image enhancement based on two-dimensional histogram analysis

2003 ◽  
Author(s):  
Shao-yuan Sun ◽  
Zhong-Liang Jing ◽  
Zhen-Hua Li ◽  
Gang Liu
Keyword(s):  
Image Enhancement ◽  
Infrared Image ◽  
Histogram Analysis ◽  
Two Dimensional

scholarly journals On-Line Monitoring of the Axial Thermal Displacement of Machine Tools by Using a Laser Mouse Sensor

2021 ◽  
Author(s):  
Wen-Nan Cheng ◽  
Chih-Chun Cheng ◽  
Chih-Ming Tsai ◽  
Yu-Hsin Kuo ◽  
Wei-Ren Cheng
Keyword(s):  
Image Enhancement ◽  
Machine Tools ◽  
Low Cost ◽  
Image Correlation ◽  
Laser Printer ◽  
Two Dimensional ◽  
Thermal Displacement ◽  
Sensing System ◽  
Speckle Patterns ◽  
On Line

Abstract This paper presents a low-cost on-line system for monitoring the axial thermal displacement of machine tools. The proposed monitoring system includes an embedded optical sensor derived from a laser mouse; an image acquisition microcontroller; speckle patterns; and an edge computer that hosts software including an image display module, a displacement calculation module, an image enhancement module, and a data visualization module. The proposed sensing system can measure the displacement in two orthogonal directions simultaneously by employing digital image correlation; thus, the proposed system is a two-dimensional displacement sensor. The sensing system benefits from image enhancement techniques and customized optimal speckle patterns printed using a standard low-cost monochrome laser printer. Experimental results indicate that the proposed displacement sensing system has an accuracy and a precision of less than 5 mm in both orthogonal directions; however, the measurement range is only 1 mm for a static measurement. The two-dimensional displacement sensing system was used for the on-line monitoring of the thermal deformation of a feed drive system for machine tools, and the performance of the sensing system was assessed experimentally.

scholarly journals Smart Image Enhancement Using CLAHE Based on an F-Shift Transformation during Decompression

Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1374
Author(s):  
Ruiqin Fan ◽  
Xiaoyun Li ◽  
Sanghyuk Lee ◽  
Tongliang Li ◽  
Hao Lan Zhang
Keyword(s):  
Image Enhancement ◽  
Low Frequency ◽  
Histogram Equalization ◽  
Frequency Component ◽  
High Frequency Component ◽  
Enhancement Effect ◽  
Two Dimensional ◽  
Compression Properties ◽  
Contrast Information ◽  
Image Details

As technologies for image processing, image enhancement can provide more effective information for later data mining and image compression can reduce storage space. In this paper, a smart enhancement scheme during decompression, which combined a novel two-dimensional F-shift (TDFS) transformation and a non-standard two-dimensional wavelet transform (NSTW), is proposed. During the decompression, the first coefficient s00 of the wavelet synopsis was used to adaptively adjust the global gray level of the reconstructed image. Next, the contrast-limited adaptive histogram equalization (CLAHE) was used to achieve the enhancement effect. To avoid a blocking effect, CLAHE was used when the synopsis was decompressed to the second-to-last level. At this time, we only enhanced the low-frequency component and did not change the high-frequency component. Lastly, we used CLAHE again after the image reconstruction. Through experiments, the effectiveness of our scheme was verified. Compared with the existing methods, the compression properties were preserved and the image details and contrast could also be enhanced. The experimental results showed that the image contrast, information entropy, and average gradient were greatly improved compared with the existing methods.

scholarly journals On-Line Monitoring of The Axial Thermal Displacement of Machine Tools By Using A Laser Mouse Sensor

2021 ◽  
Author(s):  
Wen-Nan Cheng ◽  
Chih-Chun Cheng ◽  
Chih-Ming Tsai ◽  
Yu-Hsin Kuo ◽  
Wei-Ren Chen
Keyword(s):  
Image Enhancement ◽  
Machine Tools ◽  
Low Cost ◽  
Image Correlation ◽  
Laser Printer ◽  
Two Dimensional ◽  
Thermal Displacement ◽  
Sensing System ◽  
Speckle Patterns ◽  
On Line

Abstract This paper presents a low-cost on-line system for monitoring the axial thermal displacement of machine tools. The proposed monitoring system includes an embedded optical sensor derived from a laser mouse; an image acquisition microcontroller; speckle patterns; and an edge computer that hosts software including an image display module, a displacement calculation module, an image enhancement module, and a data visualization module. The proposed sensing system can measure the displacement in two orthogonal directions simultaneously by employing digital image correlation; thus, the proposed system is a two-dimensional displacement sensor. The sensing system benefits from image enhancement techniques and customized optimal speckle patterns printed using a standard low-cost monochrome laser printer. Experimental results indicate that the proposed displacement sensing system has an accuracy and a precision of less than 5 mm in both orthogonal directions; however, the measurement range is only 1 mm for a static measurement. The two-dimensional displacement sensing system was used for the on-line monitoring of the thermal deformation of a feed drive system for machine tools, and the performance of the sensing system was assessed experimentally.

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