JPEG files usually have an extension .jpg, .JPG, or .jpeg. It is a very widely used format, because it compresses images very efficiently, while minimizing the loss of image quality. No other format comes close to achieving the same level of compression. It does not, however, support transparency or multiple layers.
JPEG 알고리즘은 굉장히 복잡합니다. 또한 이 메뉴얼에서는 다 설명할 수 없을 정도로 많은 옵션들을 가지고 있습니다. 따라서 JPEG 전문가가 아니라면 화질 값을 조절하는 것 정도만 알아도 될 것입니다.
JPEG 포맷으로 저장을 하면, 0 에서 100 까지의 압축률을 조절할 수 있는 대화 상자가 열립니다. 95 이상은 잘 안 쓰이고, 기본값은 85 로 가장 좋은 결과를 보여주지만, 많은 경우 그보다 이하의 값에서도 큰 화질 저하없이 저장이 가능합니다. JPEG 대화 상자의 이미지 창에 미리보기 보여주기 를 이용하면 값에 따른 화질을 미리 확인해 볼 수 있습니다. 이는 JPEG 의 각 옵션값에 따른 변화를 바로바로 보여주지만 이미지 자체를 변형시키지는 않습니다. 따라서 JPEG 대화 상자를 닫으면 원래의 이미지로 돌아갑니다.
참고 | |
---|---|
Please note, that the numbers for the JPEG quality level have a different meaning in different applications. Saving with a quality level of 80 in GIMP is not necessarily comparable with saving with a quality level of 80 in a different application. |
If a particular quality setting (or “quantization table”) was attached to the image when it was loaded, then this option allows you to use them instead of the standard ones.
이미지를 조금만 변형한 경우, 이 옵션을 사용하면 원본 이미지와 거의 동일한 화질과 크기로 저장할 수 있습니다. 이 옵션은 양자화 단계를 통해 다른 화질 설정을 사용할 때보다 이미지의 손실이 적게 만듭니다.
원본 이미지 파일에서 불러온 화질 설정이 기본값보다 나쁜 경우 “원본 이미지의 화질 설정값 사용” 옵션을 사용할 수 없습니다. 이는 항상 기본값보다 높은 화질을 얻을 수 있도록 하는 안전장치입니다.
Checking this option causes each change in quality (or any other JPEG parameter) to be shown in the image display. (This does not alter the image: the image reverts back to its original state when the JPEG dialog is closed.)
고급 설정에 관한 정보:
JPG compression creates artifacts. By using this option, you can smooth the image when saving, reducing them. But your image becomes somewhat blurred.
With this option enabled, the image chunks are stored in the file in an order that allows progressive image refinement during a slow connection web download. The progressive option for JPG has the same purpose as the interlace option for GIF. Unfortunately, the progressive option produces slightly larger JPG files (than without the progressive option).
참고 | |
---|---|
Beware that certain older TVs and photo frames (and maybe other devices) may not be able to show jpeg images that have been exported with the progressive setting enabled (which is the default). |
Whether to export using a CMYK Color Profile.
Arithmetic encoding is a form of entropy encoding (a lossless data compression scheme) that can be used in exporting as JPEG. Images using arithmetic encoding can be 5 - 10 % smaller. But older software may have trouble opening these images.
If you enable this option, the optimization of entropy encoding parameters will be used. The result is typically a smaller file, but it takes more time to generate.
The image file can include markers which allow the image to be loaded as segments. If a connection is broken while loading the image in a web page, loading can resume from the next marker.
JPEG images are stored as a series of compressed square tiles named MCU (Minimum Coding Unit). You can set the size of these tiles (in pixels).
The human eye is not sensitive in the same way over the entire color spectrum. The compression can use this to treat slightly different colors that the eye perceives as very close, as identical colors. Three methods are available:
1x1,1x1,1x1 (best quality): Commonly referred to as (4:4:4), this produces the best quality, preserving borders and contrasting colors, but compression is less.
2x1,1x1,1x1 (4:2:2): This is the standard subsampling, which usually provides a good ratio between image quality and file size. There are situations, however, in which using no subsampling (4:4:4) provides a noticeable increase in the image quality; for example, when the image contains fine details such as text over a uniform background, or images with almost-flat colors.
1x2,1x1,1x1 This is similar to (2x1,1x1,1x1), but the chroma sampling is in the horizontal direction rather than the vertical direction; as if someone rotated an image.
2x2,1x1,1x1 (smallest file): Commonly referred to as (4:1:1), this produces the smallest files. This suits images with weak borders but tends to denature colors.
DCT 는 “이산 코사인 변환(discrete cosine transform)” 의 약자이며 공간 영역을 주파수 영역으로 옮기는 JPEG 알고리즘의 첫번째 과정입니다. “부동형(float)”, “정수형(integer)”(기본값), “빠른 정수형(fast integer)” 등의 옵션이 있습니다.
float: The float method is very slightly more accurate than the integer method, but is much slower unless your machine has very fast floating-point hardware. Also note that the results of the floating-point method may vary slightly across machines, while the integer methods should give the same results everywhere.
정수형 (기본값) : 이 방식은 “부동형” 보다 빠르나, 정확도는 떨어집니다.
fast integer: The fast integer method is much less accurate than the other two.
You can click the “(edit)” link to open the metadata editor to change or add any metadata that you want to be included in the image. Note: you will also still need to enable the relevant metadata saving options listed below.
If the image you loaded has Exif, XMP, IPTC metadata, select which metadata you want to preserve keep when exporting.
You can also save the color profile, a custom comment to be shown in the Image Properties, and include a small preview thumbnail of the image when exporting.