scholarly journals Denoising of Images Using Autoencoder

2020 ◽  
pp. 473-476
Author(s):  
Shreya Shrikant Naik ◽  
Ms Sowmya ◽  
Preethika N K
Keyword(s):  
Image Restoration ◽  
Original Image ◽  
Single Image ◽  
Training Process ◽  
High Quality ◽  
Compression Algorithms ◽  
Restoration Technique ◽  
High Quality Image ◽  
Quality Image ◽  
Noisy Observation

Image is the object that stores and reflects visual perception. Images are also important information carriers today. Acquisition channel and artificial editing are the two main ways that corrupt observed images. The goal of image restoration technique is to restore the original image from a noisy observation of it which is aiming to reconstruct a high quality image from its low quality observation has many important applications, like low-level image processing, medical imaging, remote sensing, surveillance, etc. Image denoising is common image restoration problems that are useful by many industrial and scientific applications. The application classifies images based on single image selected from user. The noise from the corrupted image is removed and original clear image is obtained. In our project we are making use of Auto-encoder. Auto-encoder do not need much data pre-processing and it is an end to end training process which helps to remove the noise present in some pictures using some data compression algorithms.

scholarly journals High-quality image restoration from partial mixed adaptive-random measurements

2015 ◽  
Vol 75 (11) ◽  
pp. 6189-6205 ◽  
Author(s):  
Jun Yang ◽  
Wei E. I. Sha ◽  
Hongyang Chao ◽  
Zhu Jin
Keyword(s):  
Image Restoration ◽  
High Quality ◽  
High Quality Image ◽  
Quality Image ◽  
Random Measurements

Adaptive Residual Networks for High-Quality Image Restoration

2018 ◽  
Vol 27 (7) ◽  
pp. 3150-3163 ◽  
Author(s):  
Yongbing Zhang ◽  
Lulu Sun ◽  
Chenggang Yan ◽  
Xiangyang Ji ◽  
Qionghai Dai
Keyword(s):  
Image Restoration ◽  
High Quality ◽  
High Quality Image ◽  
Quality Image

scholarly journals New method for Increasing watermarked image quality and security

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
Rana J.S. Al-janabi ◽  
Shroouq J.S. Al-janabi ◽  
Zinah Hussein Toman
Keyword(s):  
Extraction Process ◽  
Original Image ◽  
High Quality ◽  
Compression Technique ◽  
Run Length ◽  
High Quality Image ◽  
Quality Image ◽  
Adaptive Compression ◽  
Integer Wavelet ◽  
Watermark Algorithm

Recently, information transmission is done electronically, information can be stored and manipulated easily using computer, information transferring should be done in secure way. Watermark is a technique that can be used to secure data. In this paper, a new watermark algorithm is proposed which depends on integer wavelet transform, arithmetic encoding and adaptive run length encoding. Adaptive run length encoding is used to compress watermark before embedding process. Arithmetic encoding can be used to compress data in original image that are needed to be retrieved from watermarked images to recover original image without any differences after watermark extraction process. To avoid the problem of traditional Run Length Encoding Technique that may produce file that is larger than original one. Adaptive run length encoding is suggested which is used to compress watermark in cover image. The adaptive compression technique can be done several times on watermark using different number of bits to represent counts of runs and produce several vectors for number of runs, compare several results and select smallest vector from them. Surely, the smallest vector means that watermarked image will be high quality image; capacity will be better and adaptively ensure embedding process will be more secure.

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