Laplace Operation-Based DC Noise Reduction in Digital Holography

Cho, Choongsang; Choi, Byeongho; Kang, Hoonjong; Lee, Sangkeun

doi:10.1109/lpt.2013.2259473

Cited by 4 publications

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to verify the performance of our proposed method, we compare it with the Haar wavelet transform method [29] and the Laplace operator-based method [30], and the holograms reconstructed by the two methods are processed with the HT to filter out the conjugate images separately. The frequency spectrum diagrams of the holograms processed by the Haar wavelet transform are shown in Figure 6a-d, respectively.…”

Section: Zfc Suppression Comparison Experiments In Qpimentioning

confidence: 99%

“…However, it is difficult to decide the exact decomposition layers that contain the ZFC, so it is necessary to manually adjust the decomposition layer to find the optimal phase map. Cho et al [30] used the Laplace operator to suppress the ZFC. Although the method requires only one hologram, the ZFC suppression is not effective because the hologram has a wide spectrum, and it is difficult to extract the original image processed by the Laplace operator.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Suppressing the Zero-Frequency Components in Single Quantitative Phase Imaging by Filtering the Low-Frequency Intrinsic Mode Function Components

et al. 2023

View full text Add to dashboard Cite

In off-axis quantitative phase imaging, existing methods of suppressing the zero-frequency component (ZFC) always cause the loss of high-frequency phase information, thus degrading the accuracy of phase reconstruction. To overcome these problems, this paper proposes to preserve the high-frequency information by filtering the intrinsic mode function. In this method, empirical mode decomposition is employed to decompose the interferometric image into a series of intrinsic mode function (IMF) components from high to low frequencies. The decomposed low-frequency IMF components are processed by Gaussian high-pass filters for ZFC suppression, and the high-frequency IMF components and the filtered low-frequency IMF components are combined to obtain the reconstructed hologram. Hilbert transform is then performed on the reconstructed hologram to filter out the conjugate image, leaving only the original image. In order to verify the performance of our proposed method, the phase maps processed by our proposed method are compared with those processed by the Fourier filtering method, wavelet transform-based method and Laplace operator method. The experimental results show that the proposed method not only suppresses ZFC but also achieves higher accuracy in phase reconstruction.

show abstract

Section: Zfc Suppression Comparison Experiments In Qpimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Suppressing the Zero-Frequency Components in Single Quantitative Phase Imaging by Filtering the Low-Frequency Intrinsic Mode Function Components

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The familiar noises include the system noises and the random noises. The system noises [9] mainly come from the improper light source or the assembly error of optic path. The random noises [10] always point to the unexpected disturbances which are derived from the optic or the electronic components.…”

Section: Introductionmentioning

confidence: 99%

Interference Stripe Noise Reduction of CMOS Sensor-Based Digital Holographic Measurement System

Liu

Song

et al. 2021

IEEE Photonics J.

View full text Add to dashboard Cite

Comparing with the application of charge coupled device (CCD) sensor, a kind of interference stripe noise (ISN) can be observed easily from the complementary metal-oxide-semiconductor (CMOS) sensor-based digital holographic measurement (DHM) system because a series of optic coatings and filters are used in front of that sensor in order to improve its imaging effect. The improper assembly or the micro manufacturing error of these optic components may create the unexpected interference phenomena in the imaging sensor. To reduce that noise, an effective image processing method is developed. On one hand the Laplacian pyramid method is used to highlight the ISN and a cartoon-texture decomposition technique is carried out to remove the additive ISN. On the other hand, an improved Lee filtering is performed to restrain the multiplicative ISN. Extensive experiment results have shown that the image quality can be improved after the ISN reduction and this method is fit for solving a deionized water temperature estimation application where the texture complexity of target image is relatively low.

show abstract

“…Hence, in the past few decades, there have been attempts to suppress intrinsic noise in DHM. Various methods have been proposed to eliminate the interference of the zero-order, conjugate, and quadratic phase terms [3][4][5][6][7][8]. DHM has been widely used to observe biological cells [9,10], such as cancer cells and E. coli cells, or to observe the mechanical elements in industrial applications [11,12].…”

Section: Introductionmentioning

confidence: 99%

Image Contrast Improvement in Interference-Dark-Field Digital Holographic Microscopy

et al. 2021

View full text Add to dashboard Cite

Conventional dark-field digital holographic microscopy (DHM) techniques require the use of specialized optics, and, thus, obtaining dark-field images with high contrast has a high cost. Herein, we propose a DHM system that uses an interference-dark-field technique for improving image contrast. Unlike conventional dark-field DHM, the proposed technique does not require expensive and specialized optical elements, or a complicated optical setup, to obtain dark-field images. The proposed technique employs a pure optical basis method to suppress scattering noise—namely, interference-dark-field—and mainly adopts an arbitrary micro-phase shifting method to achieve destructive interference for obtaining holograms. Under the framework of the proposed technique and through the observation of the USAF 1951 resolution target, the reconstructed image can retain the high contrast of the interference-dark-field DHM. The image contrast is enhanced by at least 43% compared to that which is obtained by conventional dark-field DHM. The resolution of the system can be as high as 0.87 μm. The proposed technique can switch between bright-field and dark-field DHM and prevents damage to the sample, which results from high-intensity illumination in conventional techniques.

show abstract

Laplace Operation-Based DC Noise Reduction in Digital Holography

Cited by 4 publications

References 6 publications

Suppressing the Zero-Frequency Components in Single Quantitative Phase Imaging by Filtering the Low-Frequency Intrinsic Mode Function Components

Suppressing the Zero-Frequency Components in Single Quantitative Phase Imaging by Filtering the Low-Frequency Intrinsic Mode Function Components

Interference Stripe Noise Reduction of CMOS Sensor-Based Digital Holographic Measurement System

Image Contrast Improvement in Interference-Dark-Field Digital Holographic Microscopy

Contact Info

Product

Resources

About