Image processing is processing of images using mathematical operations by using any form of signal processing for which the input is an image, a series of images, such as a photograph, the output of image processing may be either an image or a set of characteristics or parameters related to the image.
Most image-processing techniques involve isolating the individual color planes of an image and treating them as two-dimensional signal and applying standard signal-processing techniques to them. Images are also processed as three-dimensional signals with the third dimension being time or the z-axis.
Image processing usually refers to digital image processing, but optical and analog image processing also are possible. This article is about general techniques that apply to all of them. The acquisition of images (producing the input image in the first place) is referred to as imaging.
TECHNICS USED IN IMAGE PROCESSING PROJECTS
[dhs javaprojects Image-Processing Using Matlab]
Image acquisition or Digital imaging is the creation of photographic images, such as of a physical scene or of the interior structure of an object.
Modern Technologies used for Image Processing
Image sharpen & reinstatement –
Image sharpens & reinstatement is the procedure of images which is capture by the contemporary camera making them an improved picture or manipulating the pictures in the way to get chosen product. This comprises the zooming process, the blurring process, the sharpening process, the gray scale to color translation process, the picture recovery process and the picture identification process.
Facial Recognition –
Face recognition is a PC innovation that decides the positions and sizes of human faces in self-assertive digital pictures. It distinguishes facial components and overlooks whatever, for example, structures, trees & bodies.
Remote detection –
Remote detecting is little or substantial scale procurement of data of article or occurrence, with the utilization of recording or ongoing detecting apparatus which is not in substantial or close contact with an article. Practically speaking, remote detecting is face-off accumulation using an assortment of gadgets for collecting data on particular article or location.
Pattern detection –
The pattern detection is the study or investigation from picture processing. In the pattern detection, image processing is utilized for recognizing elements in the images and after that machine study is utilized to instruct a framework for variation in pattern. The pattern detection is utilized in computer-aided analysis, detection of calligraphy, identification of images, and many more.
Color processing –
The color processing comprises processing of colored pictures and diverse color locations which are utilized. This moreover involves study of transmit, store, and encode of the color pictures.
Preprocessing is the step taken before the major image processing task. The problem here is to perform some basic tasks in order to render the resulting image more suitable for the job to follow. In this case it may involve enhancing the contrast, removing noise.
Enhancement is the modification of an image to alter impact on the viewer. Generally enhancement distorts the original digital values.
The enhancement process alters the visual impact that the image has on the interpreter in a fashion that improves the information content.
Classifies and segments the image. Restoration with mathematical model improves the images appearance.
Image reconstruction techniques are used to create 2-D and 3-D images from sets of 1-D projections. These reconstruction techniques form the basis for common imaging modalities.
Secured data is secretly transmitted and guarded by the process of compression with algorithms.
Benefits of Image Processing
processing of image is faster and cost effective
effectively stored and efficiently transmitted
image processing In electrical engineering and computer science, image processing is any form of signal processing for which the input is an image, such as photographs or frames of video; the output of image processing can be either an image or a set of characteristics or parameters related to the image
image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it.
OPPORTUNITIES AND ADVANTAGES OF IMAGE PROCESSING SERVICES:
Image Scanning Services: Image processing services incorporate scanning of images from different printed versions to be utilized later
Image size alterations and cropping: The modifications of colors include extremely normal and broadly utilized utilizations of the image processing service which empowering the changes colors as indicated by one’s preferences
Removals of unwanted elements: A few images can be made more significant and easy to use by removing the undesirable components from the images. The image processing service empowers this task
Adjusting image resolutions: Images should be clear and perfect to make the coveted impact. This clarity in the image can be reestablished by altering the image resolution
Image processing with 3D technology: 3D technology has given another shape to the image processing services and with this one can make the 360 degree turning images that are prepared to be utilized for advertising and promotional services
Additional Services: There are different advanced image processing services which incorporate digital techniques to make the coveted impact in the images
DHS Informatics believes in students’ stratification, we first brief the students about the technologies and type of Image Processing projects and other domain projects. After complete concept explanation of the IEEE Image Processing projects, students are allowed to choose more than one IEEE Image Processing projects for functionality details. Even students can pick one project topic from Image Processing and another two from other domains like Image Processing, data mining, image process, information forensic, big data, Image Processing, Image Processing, data science, block chain etc. DHS Informatics is a pioneer institute in Bangalore / Bengaluru; we are supporting project works for other institute all over India. We are the leading final year project centre in Bangalore / Bengaluru and having office in five different main locations Jayanagar, Yelahanka, Vijayanagar, RT Nagar & Indiranagar.
We allow the ECE, CSE, ISE final year students to use the lab and assist them in project development work; even we encourage students to get their own idea to develop their final year projects for their college submission.
DHS Informatics first train students on project related topics then students are entering into practical sessions. We have well equipped lab set-up, experienced faculties those who are working in our client projects and friendly student coordinator to assist the students in their college project works.
We appreciated by students for our Latest IEEE projects & concepts on final year Image Processing projects for ECE, CSE, and ISE departments.
Latest IEEE 2018-2019 projects on Image Processing with real time concepts which are implemented using Java, MATLAB, and NS2 with innovative ideas. Final year students of computer Image Processing, computer science, information science, electronics and communication can contact our corporate office located at Jayanagar, Bangalore for Image Processing project details.
|DHS_IMG_1801||IEEE 2018:Latent Fingerprint Value Prediction: Crowd-based Learning||BasePaper||Synopsis||Link|
|DHS_IMG_1801||IEEE 2018:Developing LSB Method Using Mask in Colored Images||BasePaper||Synopsis||Link|
|DHS_IMG_1801||IEEE 2018:Efficient Quantum Information Hiding for Remote Medical Image Sharing||BasePaper||Synopsis||Link|
|DHS_IMG_1801||IEEE 2018:An Efficient MSB Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted Images||BasePaper||Synopsis||Link|
|DHS_IMG_1801||IEEE 2018:Visual Secret Sharing Schemes Encrypting Multiple Images||BasePaper||Synopsis||Link|
|DHS_IMG_1801||IEEE 2018:Human Identification from Freestyle Walks using Posture-Based Gait Feature||BasePaper||Synopsis||Link|
|DHS_IMG_1701||IEEE 2017:One-time Password for Biometric Systems: Disposable Feature Templates||BasePaper||Synopsis||Link|
|DHS_IMG_1701||IEEE 2017:Effective and Efficient Global Context Verification for Image Copy Detection||BasePaper||Synopsis||Link|
|DHS_IMG_1701||IEEE 2017:Face Recognition Using Sparse Fingerprint Classification Algorithm||BasePaper||Synopsis||Link|
|DHS_IMG_1701||IEEE 2017:A New Rule for Cost Reassignment in Adaptive Steganography||BasePaper||Synopsis||Link|
|DHS_IMG_1701||IEEE 2017:PassFrame: Generating Image-based Passwords from Egocentric Videos||BasePaper||Synopsis||Link|
|DHS_IMG_1701||IEEE 2017:Enhanced Password Processing Scheme Based on Visual Cryptography and OCR||BasePaper||Synopsis||Link|
|DHS_IMG_1701||IEEE 2017:Fingerprint Recognition of Young Children||BasePaper||Synopsis||Link|
|DHS_IMG_1701||IEEE 2017:Fully Incrementing Visual Cryptography from a Succinct Non-Monotonic Structure||BasePaper||Synopsis||Link|
|DHS_IMG_1701||IEEE 2017:Someone in Your Contact List: Cued Recall-Based Textual Passwords||BasePaper||Synopsis||Link|
|DHS_IMG_1601||IEEE 2016: PassBYOP: Bring Your Own Picture for Securing Graphical Passwords||BasePaper||Synopsis||Link|
|DHS_IMG_1601||IEEE 2016: Single Sample Face Recognition Based on LPP Feature Transfer||BasePaper||Synopsis||Link|
|DHS_IMG_1601||IEEE 2016: A Shoulder Surfing Resistant Graphical Authentication System||BasePaper||Synopsis||Link|
|DHS_IMG_1601||IEEE 2016: Reversible data hiding: Advances in the past two decades||BasePaper||Synopsis||Link|
|DHS_IMG_1601||IEEE 2016: Reversible Data Hiding in Encrypted Images With Distributed Source Encoding||BasePaper||Synopsis||Link|
|DHS_IMG_1501||IEEE 2015: Automatic Face Naming by Learning Discriminative Affinity Matrices From Weakly Labeled Images||BasePaper||Synopsis||Link|
|DHS_IMG_1501||IEEE 2015: Reversible Image Data Hiding with Contrast Enhancement||BasePaper||Synopsis||Link|
|DHS_IMG_1501||IEEE 2015: RRW—A Robust and Reversible Watermarking Technique for Relational Data||BasePaper||Synopsis||Link|
|DHS_IMG_1501||IEEE 2015: Steganography Using Reversible Texture Synthesis||BasePaper||Synopsis||Link|
|DHS_IMG_1501||IEEE 2015: Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset||BasePaper||Synopsis||Link|
|DHS_IMG_1501||IEEE 2015: Joint Feature Learning for Face Recognition||BasePaper||Synopsis||Link|
|DHS_IMG_1501||IEEE 2015: Learning to Rank Image Tags With Limited Training Examples||BasePaper||Synopsis||Link|
|DHS_IMG_1501||IEEE 2015: An Attribute-Assisted Reranking Model for Web Image Search||BasePaper||Synopsis||Link|
|DHS_IMG_1401||IEEE 2014: FeatureMatch: A General ANNF Estimation Technique and its Applications||BasePaper||Synopsis||Link|
|DHS_IMG_1401||IEEE 2014: Data hiding in still images based on blind algorithm of steganography||BasePaper||Synopsis||Link|
DHS Informatics providing latest 2018-2019 IEEE projects on Image Processing for the final year engineering students. DHS Informatics trains all students to develop their project with good idea what they need to submit in college to get good marks. DHS Informatics offers placement training in Bangalore and the program name is OJT – On Job Training, job seekers as well as final year college students can join in this placement training program and job opportunities in their dream IT companies. We are providing IEEE projects for B.E / B.TECH, M.TECH, MCA, BCA, DIPLOMA students from more than two decades.