Wavelet Transform on Digital Rainbow Hologram based on Spectral Compression for Quality Enhancement in 3D Display Media (original) (raw)

Compression of digital hologram for three-dimensional object using Wavelet-Bandelets transform

Optics Express, 2011

In the transformation based compression algorithms of digital hologram for three-dimensional object, the balance between compression ratio and normalized root mean square (NRMS) error is always the core of algorithm development. The Wavelet transform method is efficient to achieve high compression ratio but NRMS error is also high. In order to solve this issue, we propose a hologram compression method using Wavelet-Bandelets transform. Our simulation and experimental results show that the Wavelet-Bandelets method has a higher compression ratio than Wavelet methods and all the other methods investigated in this paper, while it still maintains low NRMS error.

Large scale and high resolution computer generated synthetic color rainbow hologram

Journal of Optics, 2019

In this study, we propose a method for calculating a large scale high resolution synthetic color rainbow hologram using the frequency domain splicing technique. This method is motivated by the observation that if the plane wave is used as the reference light, the spectra of the three primary colors of the object light in the color rainbow hologram frequency domain are mutually separated frequency bands. According to this principle, the color views of different angles of a colored 3D object are separated and interpolated, and 2D Fourier transform is performed to form an object light spectrum distribution of the color rainbow hologram. Following the operation, efficient one-dimensional Fourier inverse transform in the row and column directions of the frequency is conducted. The proposed method is able to achieve a significant boost in terms of large scale high resolution hologram computational speed. We demonstrate that a synthetic color rainbow hologram with a size of 30 × 30 mm and a resolution of 94 340 × 94 340 is achieved through our holographic printing system with an unprecedented time of only 25 min. The method is also able to achieve a visually appealing computer generated white light color rainbow hologram, thus having great potential to be used for a practical holographic 3D display.

Hologram Reconstruction by use of Optical Wavelet Transform

D. LEBRUN, S. BELAID, C. OZKUL, 1999

1. lntroduction We recently presented an application of twodimensional (2D) wavelet transform (WT) to hologram analysis.l Our purpose was to determine the three-dimensional trajectories of glass fibers drawn out in a turbulent flame, and high-speed in-line holography was used to visualize the sample volume.2 However, the strong local variations of the refractive index hindered the use of the holographic images. We demonstrated that the reliability of the reconstruction step could be improved by means of a digital method. In our approach the diffraction patterns of glass fibers recorded on the holographic plate were directly scanned by a CCD camera and analyzedby a wavelet-based method. We determined the axial location z andorientation 0 of a fiber element by searching for the values of these two parameters (i.e., scaling factor o and angular orientation 0), which led to the maximum of the WT modulus. The computation of successive correlations between the daughter wavelets and the diffraction pattern were carried out for 20 vaLues of angle 0 and for 30 values of the scaling The authors are with Unité Mixte de Recherche 6614-CORIA, High-speed in-line holography is used to visualize the trajectories of glass fibers being drawn out in a turbulent flame. To improve the signal-to-noise ratio, the images are not observed by a conventional reconstruction setup, but the holographic plate is placed directly on the input plane of a wavelettransform optical system. This processing system is based on a Vanderlugt correlator with inclusion of

ANALYSIS OF COLOR IMAGE COMPRESSION USING WAVELET TRANSFORM

Images have considerably higher data storage requirement than text .This paper gives compression of color image by using Haar Wavelet Transform and 3D wavelet transform techniques for various size with respect to the parameters such as compression ratio, mean square error and peak signal to noise ratio respectively and observe that these parameters shows better performance and superior image quality in Haar wavelet than 3D wavelet.

Color Image Compression using Hybrid Wavelet Transform with Haar as Base Transform

This paper proposes color image compression method using hybrid wavelet transform and compares it with results obtained using hybrid transform and multi-resolution analysis. Haar wavelet is widely used in image compression. So here Haar transform is selected as base transform and combined with non-sinusoidal transforms like Slant, Walsh and Kekre transform. Hybrid Haar wavelet transforms is generated using Kekre’s hybrid wavelet generation algorithm. Different sizes of component transforms are used to generate hybrid wavelet transform. Haar (32x32)-Slant (8x8) gives less error as compared to Haar-Walsh and Haar-Kekre Hybrid wavelet. Performance of hybrid wavelet is compared with hybrid transform and multi-resolution by varying the size of component transforms. Mean Absolute Error (MAE) and Average Fractional Change in Pixel Value (AFCPV) are used to compare visual quality of an image.

Improved Performance for “Color to Gray and Back” Using DCT-Walsh, DST-Walsh, Haar-Walsh, Hartley-Walsh, Slant-Wash, Kekre-Walsh Hybrid Wavelet Transform

International Journal of Advance Engineering and Research Development

In this paper comparison of various Wavelet Transform with various color spaces using Image transforms alias Walsh, Hartley, And Kekre for "Color to Gray and Back". Using Wavelet transform color information of the image is embedded into its gray scale version/equivalent. The aim of the paper is to provide better bandwidth and storage utilization instead of using the original color image for storage and transmission, gray (Gray scale version with embedded color information) can be used. Using three wavelet transforms and seven color spaces (YCbCr, YCgCb, YUV, YIQ, XYZ , YCC, Kekre"s LUV And CMY) Twenty-Four variations of the algorithm for "Color to Gray and Back" are being proposed. Among all considered image transforms and color spaces, Walsh gives better performance with YCbCr color space for "Color to gray and Back"

Improvement of signal-to-noise ratio in digital holography using wavelet transform

Optics and Lasers in Engineering, 2008

The basic problem in optical and digital holography is the presence of speckle noise in the reconstruction process, which reduces the signal-to-noise ratio (SNR). The presence of speckle noise is serious drawback in optical and digital holography since it substantially reduces the SNR in the reconstructed image. In this paper, we present wavelet filtering to improve SNR in the reconstructed images from digital holograms. Experimental results are presented. r

Effective color space representation for wavelet based compression of HDR images

2007

Effective color image and video coding is usually exploited coupling a compression method with the most suitable color space representation. This work extends a previously proposed High Dynamic Range (HDR) image coding method, which combine a logarithmic color adaptation module with a JPEG-2000 codec. Here we propose to change the original preprocessing stage with a more suitable one, based on the LogLuv color space representation, in order to take fully advantage of wavelet based coding. The experimental comparison between confirms that the proposed modification improves the compression performances and simplify the overall coding scheme.

New technique of pseudocolor encoding of holographic imaging

Optics Letters, 1978

A new technique of pseudocolor encoding of spatial filtered holographic imaging is introduced. The encoding takes place at the spatial frequency plane, and a multiwavelength rainbow holographic process is used. This technique provides a simple encoding procedure and offers a wide range of pseudocolor holographic images. The possible applications of this technique range from pseudocolor coding of aerial photography to x-ray transparencies. Because of the white-light-readout rainbow process, this technique provides a better and more natural pseudocolor image.

The Application of Color Image Compression Based on Discrete Wavelet Transform

Journal of Al-Qadisiyah for Computer Science and Mathematics

The rapid progress in technology has been the use of color images that contain very large data and to transfer large information without loss of image information led to the creation of an important tool used to compress the color image, which is the modern wavelengths derived from polynomials, depending on the influencers (s,r) responsible for expansion, contraction and compensation in The parent function for obtaining the functions at each point depends on the influences responsible for the formation of the wavelet functions from which we derive the appropriate filter responsible for analyzing the color image and divide it into parameters that divide into two parts Approach and Details. In this work, new wavelets were used in order to find the exact solution to a number of important numerical problems in the field of mathematics. These methods are tested in the field of multi resolution analysis (MRA) for using in the field of image processing where it was used in the analysis and...