{"title":"Efficient Enhancement Technique of Infrared Images","authors":"Neven Sadic, S. El-Dolil, E. Hassan","doi":"10.21608/mjeer.2020.22333.1004","DOIUrl":"https://doi.org/10.21608/mjeer.2020.22333.1004","url":null,"abstract":"This paper presents an efficient technique for enhancement of infrared (IR) images. It modifies the local luminance mean of an IR image and controls the local contrast as a function of the local luminance mean of the image. The technique first separates an image into both its low-pass and high-pass filtered form components. The low-pass component then controls the amplitude of the high-pass component to increase the local contrast. The low-pass component is then subjected to a non-linearity to modify the local luminance mean of the image and is combined with the processed high-pass component. The performance of this technique when applied to IR images shows good enhancement compared with the other traditional enhancement techniques.","PeriodicalId":421691,"journal":{"name":"Digital Image Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131675795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Digital Image Correlation Technique for Strain Measurement of Aluminium Plate","authors":"Supriya S. Gadhe, R. Navthar","doi":"10.14445/22315381/IJETT-V39P251","DOIUrl":"https://doi.org/10.14445/22315381/IJETT-V39P251","url":null,"abstract":"The Digital image correlation technique recently developed is an image identification technique to be applied for measuring the object deformation. This technique is capable of correlating the digital images of an object before and after deformation and further determining the displacement and strain field of an object based on the corresponding position on the image. Digital Image Correlation (DIC) is an upcoming experimental stress –strain analysis technique and has certain advantages over others. DIC can be tested on almost all material with a large area of inspection and no pre treatment is required as compared to other optical methods. DIC uses the principle of image correlation and produces strain field by analyzing the movement of marked points on the subject. The Digital Image Correlation (DIC) is a state of art technique that can be used for accurate strain measurement. Because of its capability for fast data acquisition, this technique is well suited for the characterization of material properties both in the elastic and plastic ranges. It also has advantages of full field, non- contact, and considerately high accuracy for displacement and strain measurements. The MATLAB software is an innovate system that uses the digital image correlation technique to provide strain measurements in a two-dimensional contour map for planar surface specimens.","PeriodicalId":421691,"journal":{"name":"Digital Image Processing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133700508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Lossless and Reversible Data Hiding in Encrypted Images with Public Key Cryptography","authors":"Amrtha Anand.K, Dheena Kurien","doi":"10.21090/ijaerd.0305120","DOIUrl":"https://doi.org/10.21090/ijaerd.0305120","url":null,"abstract":"A lossless, reversible, and combined data hiding schemes for ciphertext images encrypted by public key cryptosystems with probabilistic and homomorphic properties is proposed. In the lossless scheme, the ciphertext pixels are replaced with new values to embed the additional data into several LSB-planes of ciphertext pixels by multi-layer wet paper coding. Then, the embedded data can be directly extracted from the encrypted domain, and the data embedding operation does not affect the decryption of original plaintext image. In the reversible scheme, a preprocessing is employed to shrink the image histogram before image encryption, so that the modification on encrypted images for data embedding will not cause any pixel oversaturation in plaintext domain. Although a slight distortion is introduced, the embedded data can be extracted and the original image can be recovered from the directly decrypted image. Due to the compatibility between the lossless and reversible schemes, the data embedding operations in the two manners can be simultaneously performed in an encrypted image. With the combined technique, a receiver may extract a part of embedded data before decryption, and extract another part of embedded data and recover the original plaintext image after decryption.","PeriodicalId":421691,"journal":{"name":"Digital Image Processing","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126096732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Ramasubramanian, B. Ponnambalam, R. Latha, M. Rangaswamy
{"title":"ANALYSIS OF 3D FACE RECONSTRUCTION","authors":"M. Ramasubramanian, B. Ponnambalam, R. Latha, M. Rangaswamy","doi":"10.18000/ijies.30134","DOIUrl":"https://doi.org/10.18000/ijies.30134","url":null,"abstract":"3D shape reconstruction from 2D images is an inverse problem, and is therefore mathematically ill-posed. One solution to 3D shape reconstruction problem is to use a model based approach. This paper presents an analysis by synthesis method for solving 3D face reconstruction problems using anatomical landmarks and intensity from 2D frontal face images. To improve the quality of 3D shape reconstruction we incorporate a number of steps in analysis by synthesis framework. Firstly, we approach the 3D model construction problem by using rigid and non rigid surface registration. Secondly, we simplify the shape estimation by using multidimensional amoeba optimization to optimize shape parameters while mapping texture directly using 3D-2D alignment. Thirdly, we evaluate the quality of the 3D shape reconstruction in the context of 3D shape error as well as by visual analysis.","PeriodicalId":421691,"journal":{"name":"Digital Image Processing","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130510936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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