Photo Size Converter In Kb

There are so many online photo editing tools available to edit resize crop s online for free s Fotor s# Photo Editor | piZap Free Online Photo Editor and Collage Maker s Online Photo Editor | Pixlr Editor s Photo Editor - FotoJet s Hope this information will be useful to you.

There are good answers here. Before I add my own 2 cents or pennies here I often find people make an assumption of drive size and space. In the world ofputers 1 KB = 124 bytes. When you buy a 1 TB or 2 TB HDD you would expect that much. But when you connect the 2 TB drive it reports TB. Where are those 19 GB? If you ask this question to the manufacturer their first reply is that when you format a drive some space is lost to the File Allocation Table or NTFS overhead etc. THIS IS BS. The real reason is different. For whatever reasons storage manufacturers have used the standard metric unit as 1 KB = 1 bytes. So a 2 TB drive = 2 bytes. But when theputer reads the drive it uses the equation 1 KB = 124 bytes. Divide that manufacturer number by 124 four times and you get TB. This is exactly what myputer is reporting. horizontal-rule Nowing to the question there is no straightforward one answer because the photo size can be so different. I shoot raw and my typical raw file size varies from 25 MB to 31 MB per photo. When I convert the same to JPEG the size depends upon the quality setting. At the highest quality setting (12) the file size can be 931 MB and lower as the quality setting is lowered. DLSR photo size can be much more than smartphone photo size. Besides as said in previous answers you must always leave at least 1% space as buffer. A full drive is often set for failure during write operations. 1 TB drive = 931 GB 1% to be left free gives us 838 GB or 85836 MB. Check your typical photo size. Divide 85836 by the average photo size and you get your value. For instance if you are storing JPEG only and average JPEG size is 6 MB then you can store 14351 photos in 1 TB drive.

Increasing always results in decreased quality. There is absolutely no way around this unless someone someday creates an AI that will do the job. Think of it this way. You have 5 dots. The dots always remain the same size but they can be any color you want. If you put 5 dots on a 1 cm white square choosing the precise color of each dot to form the face of the Mona Lisa you will have a crisp vivid may still be recognizable but will be quite faded and fuzzy. Spread the same dots on a 1 meter square and you may not be able to see the .

You can go below and upload your photo after that you can choose photo size in mb or kb as you want and convert online It's very simple Crop Resize & Compress Images Photos and Pictures for FREE s

You need an . Open a file in GIMP by clicking File Open navigate to the file location select it and hit Open. Click and drag the crop tool on the to a perfect square. when you are happy with the crop hit the enter key to accept the crop. Set the resolution to 72ppi. Set the units to inches instead of pixels. Type in your new Window. Move the Quality slider to the left until the file sizees down to 19kb or less. The file size is displayed directly under the quality slider.

To resize a photo to x 4.5 cm size I suggest you use Batch Picture Resizer s software. This tool is designed to resize a lot of photos in a batch mode but it also will make it easy to resize one photo to exact size in CM. To have a photo exact size 3.5 cm x 4.5 cm you need if you want to print it I suggest you use 4 DPI . It is easy to calculate (convert Inches to Centimeters) that the resulting s 678 632 master_ s zoomable will be exactly cm . After you changed all settings you should also Enable the Smart Crop option and the program will make photo exact size you specified. This feature allows getting photos with the exact size in CM easily. You may do that for one photo or run a batch mode. The program also may help you to convert between resizing. Photoshop allows you to resize in Centimeters However it possibly will not keep the aspect ration and your face will be stretched. To avoid this you need to crop photo first to exact size. Use the Crop tool.

A bit more detail ... Creating the digital video First off some hardware is used to digitize the light. Say this hardware uses a bank of photo sensitive electronic (usually something like CMOS).n This is placed inside the camera instead of film. Basically it provides an electrical signal for each dot (pixel) on that grid. The electronics convert it into RAW video data at intervals say every 1 of a second (depends on the hardware and certain inputs to the device). This raw data consists of several bit (on) signals for each one of those dots. It depends on the electronics just how many and what each posiblebination means but the principle is always thus Some sort of number value for defining the colour and light amount. Many use a form of what's called HLV (Hue-Luminescence-Value - effectively what band in the colour spectrum how bright it is and how deep is the colour) others go with mixing primary colours (e.g. RGB how much Red Green & Blue is contained) and various other similar s can be used - basically why they are all called raw. So to store such value - read up on binary numbering. That is how you turn anything into a batch of on signals. Let's say we go with the HLV format. That then gets digitized by splitting the entire spectrum for each of those values into a discrete number say H= mean pure red H=127 means pure green H=255 means pure purple etc. Same goes for the luminosity =black (no light) 255 means absolute white. And again for the Valueponent. Notice the numbers I used? Those are round numbers in the binary numbering system - same as 1 and 1 are round numbers in the decimal numbering system. Basically they are powers of the base of the system (1 = 1^2 1=1^3 etc binary's base is 2 instead of 1 thus 128=2^7 256=2^8) but I'm looking for the minimum and maximum possible in a set of digits. In this case 8 digits (bits) each as in 8 consecutive on signals gives me 256 possible numbers ranging from through to 255 (inclusive). So that's then 3 bytes (3off groups of 8 bits in sequence) or 24 bits for each dot on the picture (called a pixel). Depending on how many pixels there are that is repeated the same number of times. So an HD 72p photo is 128x72 = 9216 pixels for one single image. Then all of those is repeated for each frame - i.e. in our case 3 of them for each second of video. Displaying the video The whole process is basically just reversed. That data is sent to some electronics which convert it to the electrical intensity binations to make a single pixel on the screen appear to match the same colour it was when encoded. Basically a similar number of steps to go through to display it. It would make little sense in regurgitating all of the above in reverse order I'm sure you can figure that out for yourself? Just how much storage is this? Well say you've got an hour's worth of half HD (i.e. 72p) video at 3fps. That is then just a maths formulan PixelSize times Width times Height times FramesPerSecond times 6SecondsPerMinute times 6MinutesPerHour math n = 3 Bytes times 128 times 72 times 3fps times 6spm times 6mph math n = 3 times 9216 times 3 times 36 math n = 27648 times 18 = 2985984 Bytes math n = 2916 kB math (1 kilo Bytes = 124 Bytes again 124 = 2^1 a round binary number)n = MB = GB math So you need an entire 28GB to store around one hour's worth of 72p 3fps video. You havent even looked at sound yet ... pardon the pun. How's that possible? None of the AVI files I've seen are that enormous even those containing 2 hours of movie is only one to 3 GB in size. That's because there is so much repetition in the raw data. Any two consecutive frames may have large swaths of their pixels the exact same value. Thuspression techniques are used to reduce the number of data necessary to display this. Whenpressing the same pixel across several frames - it's referred to as temporalpression (as in along time). Other means are looking for neighbouring pixels topress in the same manner as JPG files reduce the original raw photo. And others test to see if pixels (both neighbours and future) are almost the same - whose going to notice the difference between a 176 value for L and a 175 in one single pixel? And then most dobinations of that. That is what you find inside of those AVI files. They have somepression which greatly reduce the amount of storage space necessary. Even very poorpressors can achieve a tenfold reduction in size without loosing (much) fidelity. Goodpressors tend to get around a 1 times reduction before you start noticingpression artefacts some even better than that.