A Simple Prediction Method for Progressive Image Transmission

2002 ◽  
pp. 262-272 ◽  
Author(s):  
Chin-Chen Chang ◽  
Guang-Xue Xiao ◽  
Tung-Shou Chen
Keyword(s):  
Image Quality ◽  
Linear Prediction ◽  
Prediction Method ◽  
Image Transmission ◽  
Input Image ◽  
Reconstructed Image ◽  
Progressive Image Transmission ◽  
Intuitive Method

BPM is a simple and intuitive method to implement the progressive image transmission. However, its reconstructed image quality at each of the beginning stages is not good. In this paper, we propose a simple prediction method to improve the quality of the reconstructed image for BPM at each of the beginning stages. By partitioning the input image into smaller blocks, our method transmits an important part of the pixel information of each block to the receiver in each stage. To reconstruct the whole image, the receiver recovers the missing pixel information in each block by linear prediction based on the transmitted pixel information. The experiment results show that our method can significantly improve the reconstructed image quality at each of the beginning stages compared to the BPM and IBPM proposed previously.

Method for Improving Reconstructed Image Quality of Digital Hologram Based on SRAD and NSCT

2014 ◽  
Vol 41 (2) ◽  
pp. 0209024
Author(s):  
吴一全 Wu Yiquan ◽  
殷骏 Yin Jun ◽  
朱丽 Zhu Li ◽  
叶志龙 Ye Zhilong
Keyword(s):  
Image Quality ◽  
Reconstructed Image ◽  
Digital Hologram

Research on Image Technology with Progressive Image Compression Based on JPEG and Laplacian Pyramid

2014 ◽  
Vol 886 ◽  
pp. 650-654
Author(s):  
Bo Hao Xu ◽  
Yong Sheng Hao
Keyword(s):  
Image Quality ◽  
Image Compression ◽  
User Experience ◽  
Image Transmission ◽  
Laplacian Pyramid ◽  
Progressive Image Transmission ◽  
User Demand ◽  
Progressive Image Compression ◽  
Compression Coding

Progressive image transmission is a kind of image technology has been widely used in various fields, it can not only save bandwidth but also improve the user experience to meet user demand for different image quality. According to user's demand for image quality, realizing the progress of image compression coding flow can meet the demand of users. This article mainly introduce by means of JPEG and Laplacian pyramid coding principle implement progressive image compression.

AN EFFICIENT PROGRESSIVE IMAGE TRANSMISSION SCHEME FOR CHINESE CALLIGRAPHY

2006 ◽  
Vol 20 (07) ◽  
pp. 1077-1092 ◽  
Author(s):  
CHING-YUN CHANG ◽  
IUON-CHANG LIN
Keyword(s):  
Image Quality ◽  
Response Time ◽  
Image Data ◽  
Image Transmission ◽  
The Other ◽  
Transmission Time ◽  
Transmission Scheme ◽  
Chinese Calligraphy ◽  
High Image Quality ◽  
Progressive Image Transmission

We invented a progressive image transmission scheme that is used for transmitting Chinese calligraphy. The scheme employs the property of simple colors of calligraphy images to design a method of transmitting images phase by phase. Overall, our scheme can achieve the following two goals. One is compressing the image data to reduce the transmission time while the other is gaining less response time by using progressive image transmission. Furthermore, the recovered image still maintains the colors of the seals with high image quality.

Experiment Research of Image Transmission over Wired and Wireless Environment

2013 ◽  
Vol 739 ◽  
pp. 592-595
Author(s):  
Xiao Jun Zhong ◽  
Lu Yao
Keyword(s):  
Image Quality ◽  
Communication System ◽  
Signal To Noise Ratio ◽  
Image Transmission ◽  
Experiment Research ◽  
Signal To Noise ◽  
Relative Angle ◽  
Wireless Environment ◽  
Fast Ethernet

We experimentally achieved a VHF over Fast-Ethernet communication system for image transmission. The quality of image is studied with considering the antenna vertical relative angle of the transmitter and receiver and the distance between transmitter and receiver. The signal-to-noise ratio is also studied for analyzing the image quality in this paper.

scholarly journals Time-Division Color Holographic Projection in Large Size Using a Digital Micromirror Device

2021 ◽  
Vol 11 (14) ◽  
pp. 6277
Author(s):  
Takayuki Takahashi ◽  
Tomoyoshi Shimobaba ◽  
Takashi Kakue ◽  
Tomoyoshi Ito
Keyword(s):  
Image Quality ◽  
High Speed ◽  
Reconstructed Image ◽  
Digital Micromirror Device ◽  
Full Color ◽  
Large Size ◽  
Reconstruction Image ◽  
Reduction Methods ◽  
Time Division

Holographic projection is a simple projection as it enlarges or reduces reconstructed images without using a zoom lens. However, one major problem associated with this projection is the deterioration of image quality as the reconstructed image enlarges. In this paper, we propose a time-division holographic projection, in which the original image is divided into blocks and the holograms of each block are calculated. Using a digital micromirror device (DMD), the holograms were projected at high speed to obtain the entire reconstructed image. However, the holograms on the DMD need to be binarized, thereby causing uneven brightness between the divided blocks. We correct this by controlling the displaying time of each hologram. Additionally, combining both the proposed and noise reduction methods, the image quality of the reconstructed image was improved. Results from the simulation and optical reconstructions show we obtained a full-color reconstruction image with reduced noise and uneven brightness.

scholarly journals Computational Efficient Method for Denoising of Salt and Pepper Noise for Image Enhancement

2020 ◽  
Vol 8 (6) ◽  
pp. 538-543
Keyword(s):  
Image Processing ◽  
Image Quality ◽  
Median Filter ◽  
Noise Removal ◽  
Input Image ◽  
Filter Method ◽  
Pixel Intensity ◽  
Feature Information ◽  
Salt And Pepper

Digital Image processing is basically a computer-algorithm which is used to enhance the quality of image to understand the feature of image and exact the meaningful features information from image. Image processing has wider range of algorithms to be applied to the input image and can escape the difficulty as the signal distortion and add noise in input image at the time of processing of images. Noises affect the image visualization and degraded the image quality, sometimes chaotic variation in value of pixel intensity, lighting effect or because of poor contrast, image can’t be used directly because many time interest feature information not received as output that’s one reason image processing is significant for removal of noise from images, so noise removal is becomes trending field in image processing. Median filter method is one of most popular method to eradicate the effect of noise from image and it enhances the image quality to take meaningful feature easily from image. In this paper removing of noise using median filter to enhance the image quality is discussed, also the importance and applications of enhancement technique are covered. Parameter PSNR and MSE is also used to analysis the image quality along with the visualization of image. Simulation results show that Median filter gives good outcome for salt & pepper noise as compare to other filtering method. MATLAB software is used as simulation tool.

scholarly journals Pre and Postprocessing for JPEG to Handle Large Monochrome Images

Algorithms ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 255 ◽  
Author(s):  
Walaa Khalaf ◽  
Abeer Al Gburi ◽  
Dhafer Zaghar
Keyword(s):  
Image Quality ◽  
Image Compression ◽  
Compression Ratio ◽  
Rapid Development ◽  
Reconstructed Image ◽  
Hyperbolic Function ◽  
Image Size ◽  
New Techniques ◽  
Large Size

Image compression is one of the most important fields of image processing. Because of the rapid development of image acquisition which will increase the image size, and in turn requires bigger storage space. JPEG has been considered as the most famous and applicable algorithm for image compression; however, it has shortfalls for some image types. Hence, new techniques are required to improve the quality of reconstructed images as well as to increase the compression ratio. The work in this paper introduces a scheme to enhance the JPEG algorithm. The proposed scheme is a new method which shrinks and stretches images using a smooth filter. In order to remove the blurring artifact which would be developed from shrinking and stretching the image, a hyperbolic function (tanh) is used to enhance the quality of the reconstructed image. Furthermore, the new approach achieves higher compression ratio for the same image quality, and/or better image quality for the same compression ratio than ordinary JPEG with respect to large size and more complex content images. However, it is an application for optimization to enhance the quality (PSNR and SSIM), of the reconstructed image and to reduce the size of the compressed image, especially for large size images.

scholarly journals Time-division Color Holographic Projection in Large Size Using a Digital Micromirror Device

2021 ◽  
Author(s):  
Takayuki Takahashi ◽  
Tomoyoshi Shimobaba ◽  
Takashi Kakue ◽  
Tomoyoshi Ito
Keyword(s):  
Image Quality ◽  
High Speed ◽  
Reconstructed Image ◽  
Digital Micromirror Device ◽  
Full Color ◽  
Large Size ◽  
Reconstruction Image ◽  
Reduction Methods ◽  
Time Division

Holographic projection is a simple projection because it enlarges or reduces reconstructed images without using a zoom lens. However, one major problem associated with this projection is the deterioration of image quality as the reconstructed image enlarges. In this paper, we propose a time-division holographic projection, in which the original image is divided into blocks and the holograms of each block are calculated. Using a digital micromirror device (DMD), the holograms were projected at high speed to obtain the entire reconstructed image. However, the holograms on the DMD need to be binarized, thereby causing uneven brightness between the divided blocks. We correct this by controlling the displaying time of each hologram. Additionally, combining both the proposed and noise reduction methods, the image quality of the reconstructed image was improved. Results from the simulation and optical reconstructions show we obtained a full-color reconstruction image with reduced noise and uneven brightness.

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