Learn Photo Editing

Learn Photo Editing

This online course gives professional advice and instructions for how to photoshop pictures for any purpose that you could need them for. If you need to retouch your portraits, this gives you the tools to edit the image so that your model is sure to be happy with the results. If you need to create cartoon characters, you can learn how to do that in a very short amount of time. You can even learn the more advanced skills, like how to make facial features stand out in the picture without having to retouch the photo. You can learn how to take your normal photos and turn them into glossy, high resolution advertisements. Whatever skills you want to learn, and whatever application your photos will be needed in, this course can give you the tools that you need in order to create the most beautiful photoshoot that you've ever done. Read more...

Learn Photo Editing Summary


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How To Render Cars In Photoshop

How To Render Cars In Photoshop is a video-based tutorial created by a professional designer who named Tim. He has worked with some of the largest automotive companies such as Ford and General Motors for over 15 years. The course is broken down into 26 easy-to-understand, step-by-step videos. From the program, you can learn the multiple ways of adding highlights that give your renderings more life, the insider tips on how to create classic chrome reflections, everything you need to know about how design professionals use Photoshop layers, and simple cheat that design pros use to produce perfect rims. The breakdown of the course includes the Introduction, Scanning Your Drawings, Quick Start, Pontiac G8 Rendering, and Le Mans Racer Rendering, to a total of 26 videos. The program also comes with a number of video bonuses such as Applying Color in Photoshop, Adding Object Reflections, Adding Ground Reflections, and Body Reflection Cheat Sheet.

How To Render Cars In Photoshop Summary

Contents: Video Program
Author: Tim Rugendyke
Official Website: www.how-to-draw-cars.com
Price: $67.00

Image processing

In this chpater, image processing means detecting and discriminating the location of the lights on the dock and estimating relative position and distance between the AUV and the dock. Figure. 16 shows a developed dock and the arrangement of the lights in the entrance of the dock. The diameter of the rim was 1m. Five lights were installed in the circular rim. The locations and brightness of the lights were adjustable. Before the image processing, it was necessary to adjust the intensity of the lights. If the lights is too strong, two or more lights may be misidentified as one light because of scattering. Proper intensity was determined through trial-and-error. Stage (2) To discriminate the lights installed around the dock entrance, the image processing unit classified each pixel of the raw images into two groups (a bright group and a dark group) using a pre-specified threshold value. Namely, the grabbed image was converted into a binary image. The lights of the dock were classified as...

An overview of tracking methods

Thus, sonar data processing research has focused in the objects detection, its classification, the obstacle avoidance, and the navigation based on the terrain. Forward-looking sonars (FLS) with mechanical sweep provide of richer information, but they need the correction of the movement using navigation information from the vehicle that transports it. The multibeam MBEs are bigger than the FLS and capable of providing several updates of the image frames. From MBE and by means of simple methods of image processing it is possible to extract useful information of the pipeline or cable for its tracking. Nevertheless, the great challenge is still to reduce the false alarms relation using multiple hypotheses between frame and frame for the tracking.

Vision based navigation

Cameras are found on almost all underwater vehicles to provide feedback to the operator or information for oceanic researchers. Vision based navigation involves the use of one or more video cameras mounted on the vehicle, a video digitizer, a processor and, in general, depending on depth, a light source. By performing image processing on the received frames, the required navigation tasks can be completed or required navigation information can be calculated. The usual setup for the vision system is a single downward facing camera taking images of the sea floor at an altitude of between 1 and 5 meters (see Fig. 2). The use of optical systems, like all navigation sensors, has both advantages and disadvantages. If the challenges of underwater optical imaging, described in section 2, can be successfully addressed some of the potential advantages of vision based underwater navigation include Optical imaging has a very high update rate or frame rate and thus allows for high update rate...

Improved Position Prediction

As has been outlined in the introduction, the latency caused by the image-processing-and-action-generation loop leads to non-matching robot positions. As a measurable effect, the robot starts oscillating, turning around the target position, missing the ball, etc. This section utilizes a three-layer back-propagation network to extrapolate the robot's true position from the camera images. As mentioned in the introduction, latency is caused by various components which include the camera's image grabber, the image compression algorithm, the serial transmission over the wire, the image processing software, and the final transmission of the commands to the robots by means of the DECT modules. Even though the system uses the compressed YUV411 image format 7 , the image processing software, and the DECT modules are the most significant parts with a total time delay of about 200 ms. For the top-level control software, which is responsible for the coordination of all team members, all time...

Local Position Correction

In the ideal case of slip-free motion, the robot can extrapolate its current position by combining the position delivered by the image processing system, the duration of the entire time delay, and the traveled distance as reported by the wheel encoders. In other words When slip does not occur, the robot can compensate for all the delays by storing previous and current wheel tick counts. This calculation is illustrated in Fig. 17. Fig. 17. Extrapolation of the robot's position using the image processing system and the robot's previous tick count Fig. 17. Extrapolation of the robot's position using the image processing system and the robot's previous tick count

Underwater docking experiments

Underwater docking experiment without the attitude keeping control Only the vision-guidance control was applied. No distance estimation was applied. ISiMI depended on the camera until contact with the dock. In Fig. 24, pixel errors are plotted against time. A pixel error is defined as deviation between the origin and the estimated center of the dock center in the image coordinate. The pixel errors decreased and were regulated during the first 9 seconds of the test. However, between seconds 9-15, there were discontinuous oscillations. These oscillations were caused by the defect of the image processing system to process, not by actual motions of the AUV, i.e. one more light moved out of the camera viewing range. The AUV became confused and it could not find the center of the dock. This occurred when the AUV was in the second stage area. To estimate the center precisely, all five lights were required, but in this area, the AUV could not see all of them. It was found that the AUV had...

Underwater Photography

Shooting Methods Deeper into Photo Editing Techn iques Deeper into Workflow & Asset Management Learning with the Masters Doug Perrine, David Doubilet, Alex Mustard, Stephen Frink Shooting Methods Deeper into Photo Editing Techn iques Deeper into Workflow & Asset Management Learning with the Masters Doug Perrine, David Doubilet, Alex Mustard, Stephen Frink - photo editing, colour and exposure correction. Find out about digital asset management systems adopted by professional photographers. A generous number of images are used to illustrate the varied form of underwater imaging. A special section features images and secrets from some of the world's top underwater photographers - David Doubilet, Doug Perrine, Alex Mustard & Stephen Frink. This is the most definitive advanced guide available for digital underwater photography a must have essential for any aspiring digital photographer.

Underwater optical imaging

Underwater optical imaging has four main issues associated with it scattering, attenuation, image distortion and image processing. Scattering is as a result of suspended particles or bubbles in the water deflecting photons from their straight trajectory between the light source and the object to be viewed. There are two different types of scattering backscatter and forward scatter (see Fig. 1). Backscatter is the reflection of light from the light source back to the lens of the camera. This backscattering can result in bright specs appearing on the images, sometimes referred to as marine snow, while also affecting image contrast and the ability to extract features during image processing. Forward scatter occurs when the light from the light source is deflected from its original path by a small angle. This can result in reduced image contrast and blurring of object edges. The affect of forward scatter also increases with range. Due to the extreme pressures associated with deep-sea...

Environmental Perception for Navigation

Vision-based self-localisation derives robot poses from images. It encompasses two principal stages image processing and pose-computation. Image processing provides the tracking of features in the scene. Pose-computation is the geometrical calculation to determine the robot pose from feature observations, given the scene model. Designing the image processing level involves modelling the environment. One way to inform a robot of an environment is to give it a CAD model, as in the work of Kosaka and Kak 52 , recently reviewed in 24 . The CAD model usually comprises metric values that need to be scaled to match the images acquired by the robot. In our case, we overcome this need by defining geometric models composed of features of the environment directly extracted from images. The self-localisation process as described by Eq. (17), relies exclusively on the observed segments, and looks for the best robot pose justifying those observations on the image plane. Despite the optimization...

Zoom blurring underwater

Cinnamon coral trout on reef, Sha'ab Abu Nuhas, Egypt. Nikonos V, 15 mm UW-Nikkor. Sea and Sea YS120 flash gun. On f8 aperturefr ont priority (1 60th) TTL. Zoom effect added in Photoshop to right hapd e image Filter Blur Radial Blur. Cinnamon coral trout on reef, Sha'ab Abu Nuhas, Egypt. Nikonos V, 15 mm UW-Nikkor. Sea and Sea YS120 flash gun. On f8 aperturefr ont priority (1 60th) TTL. Zoom effect added in Photoshop to right hapd e image Filter Blur Radial Blur. But before rushing out to give zoom blurring a try I feel I should also let you know that this effect can easily be imitated using the wonders of Photoshop Zoom blur can be added to any image by using the zoom function of radial blur (Filter Blur Radial blur). It is worth noting that the computer has several advantages over the camera as well as meaning you don't have to get wet. First you can select any photograph, including colourful flash lit images, from macro to wide angle and even fisheye. Also the extent of zoom blur...

Final approach algorithm

When the distance estimated by the image processing became smaller than a pre-specified threshold value, the second stage began. In this area, the last reference yaw and pitch When the distance estimated by the image processing became smaller than a pre-specified threshold value, the second stage began. In this area, the last reference yaw and pitch


One of the first of these, is a weekend-long Underwater Photography holiday, to be held from 3rd-5th December. It will take the form of a series of intensive workshops covering dealing with different types of files, experimenting with colour, making the most of your images for print or projection, using Adobe Photoshop and a variety of other skills specific to underwater photography requirements.

Trajectory planning

What is the best trajectory solution to reach a given target This is the problem we want to solve in this chapter. For this purpose, a novel approach is developed which is inspired from a level set method that originally emerged within the image processing community. This method, called Fast Marching (FM) algorithm, is analyzed and extended to improve the trajectory planning process for mobile robots. Theory and algorithms hold for any kind of autonomous mobile robot. Nonetheless, since this research work has been supported by the Oceans Systems Laboratory, the trajectory planning methods are applied to the underwater environment. Simulations and results are given assuming the use of an autonomous underwater vehicle (AUV).


Unfortunately, the image processing system exhibits various time delays at different stages, which leads to erroneous robot behavior. Sections 3 and 4 have incorporated back-propagation networks in order to alleviate this problem by learning techniques which enable precise predictions to be made.

Control System

Auv Magnetometer General Arrangement

The general arrangement of the parts of ISiMI is shown in Fig. 6. The core of ISiMI's control system is a single-board computer interfaced with a frame grabber, a serial extension board, and a controller area network (CAN) module via a PC104 bus. Figure 4 shows a block diagram of ISiMI's control system. The operating system of the main computer is Windows XP, with real-time extension (RTX). The application software for the graphic user interface and the dynamic control of ISiMI is implemented with Visual C++. To interface sensors and actuators with the main controller, a sub-controller using a Micro Controller Unit (MCU) was developed. The sub-controller communicated with the main controller via a CAN. It controlled the linear actuators and digital and analog I O intraface. A block diagram of the sub-controller is shown in Fig. 5. The operating duration of ISiMI was estimated at four hours with lithium-polymer batteries of a 207Wh capacity, as shown in Table 4. The total weight of...

Cable tracking

Rov Magnetometer Cable

The necessity for frequent underwater cable pipe inspection is becoming more apparent with increased construction of subsea piping networks for the oil and gas industry and heavy international telecommunication traffic. Current methods for the surveillance, inspection and repair of undersea cables pipes utilize remotely operated vehicles (ROV) controlled from the surface. This work can prove to be very tedious and time consuming while also being prone to human error due to loss of concentration and fatigue. Cables can be covered along sections of their length thus making it difficult to recover cable trajectory after losing track. A reliable image processing based cable tracking system would prove much less expensive and less prone to error than current solutions, as the need for constant operator supervision is removed. The development of the vision based cable tracking system for use on autonomous vehicles would also be beneficial because of the reduced cost as a mother ship is no...

Cuttle Fish Mail

I decided to test the SW-CY filter on two camera systems. First I did the fully automatic evaluation using an Olympus 5060 with an INON WAL using AUTO white balance and shooting JPGs. Then for those who like more control I tested it on a Nikon D70 with a 20mm lens shooting in RAW and custom white balancing using the dropper in Photoshop's Camera RAW Plug-in. On the same dive (I did a lot of popping back to the boat) I shot the D70 with a CC40 Red filter (on the 10.5mm lens) and a standard UR Pro CY filter on a 17-35mm lens. All these shots were taken in 3.5m (14ft) of water near Stingray City Sandbar. occasionally and a few pictures came out slightly yellow. I am not sure what was causing this, but a simple post processing application of AUTO COLOUR in Photoshop solved this minor glitch. Diver and stingray. The UR Pro Shallow Water filter also worked well with the DSLR when shot in RAW and white balanced with the dropper tool (on white T shirt) in the Adobe Camera RAW Plug-In for...


Conservation issues Exposure Techniques Beyond Basic Techniques Macro Wide Angle Techniques Elements of Successful Composition How to Shoot for Competitions How to Shoot with Models How to get Published Advanced Lighting Techniques Post Processing Photoshop & Printing Techniques. The digital photography workshop modules also include the essentials of post editing using Photoshop and other tested software to create multi-media presentations. The program schedule allows for maximum shooting time. The lesson modules, plus the formal and informal critique sessions will ensure that participants develop the essential techniques to take publishable images.


The Wratten 22 (left) is completely removing the blue channel leaving only the attenuated Red and Green. When this is converted to black and white in Photoshop the result is very punchy. Shot without a filter and converted to black and white in Photoshop Shot without a filter and converted to black and white in Photoshop Back on the boat we adjourned to the darkened 'Bat Cave' area and sparked up Photoshop CS. With a spot of 'audience participation' we poked and prodded some buttons - Shot with a Magic filter and converted to black and white in Photoshop Shot with a Magic filter and converted to black and white in Photoshop One was taken with no filter of any kind, one with a Magic filter and one with the Wratten 22 - All three were then post processed to the best of my abilities using Photoshop CS to produce a final B&W image. So far the most successful conversion method has been to use the Channel Mixer in Photoshop CS though using the Luminance channel directly also seems pretty...


Light attenuation and backscatter inhibit the ability of a vision system to capture large area images of the sea floor. Image mosaicking is an attempt to overcome this limitation using a process of aligning short range images of the seabed to create one large composite map. Image mosaicking can be used as an aid to other applications such as navigation, wreckage visualisation, station keeping and also to promote a better understanding of the sea floor in areas such as biology and geology. Mosaicking involves the accurate estimation of vehicle motion in order to accurately position each frame in the composite image (mosaic). The general setup of the vision system remains the same for almost all mosaicking implementations. A single CCD camera is used to acquire images at a right angle to the seabed at an altitude ranging from 1-10 meters depending on water turbidity (see Fig. 2). One of the very earliest attempts at fusing underwater images to make a larger composite seafloor picture...

Learn Photoshop Now

Learn Photoshop Now

This first volume will guide you through the basics of Photoshop. Well start at the beginning and slowly be working our way through to the more advanced stuff but dont worry its all aimed at the total newbie.

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