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cheap private java support cheap private java support If we reduce the image size by one half to 40 pixels by 40 pixels we then have 40x40 or 1600 pixels. So reducing the image size in half reduces the file size to one fourth of the original. This is our First Principle of Image File Size Reduction: Use the smallest image dimensions that will work with your layout. And likewise the fewer images on the page, the fewer image pixels, therefore the smaller the page size. Since GIF and JPEG image formats use different methods of saving image information, they tend to be better at showing some types of images and worse at showing others.

cheap private java support GIF images, since they are limited to 256 colors per image, are better at displaying images with large solid blocks of color and images with very small physical dimensions. The GIF format will produce smaller file sizes than JPEG for these types of images. JPEG images are better at showing gradients or subtle changes from one color to another. Therefore JPEGs reproduce photographs very well, or any other image with gradations. The JPEG format will produce smaller file sizes for these types of images than the GIF format will.

cheap private java support This is our Second Principle of Image File Size Reduction: Choose the correct image format for the image you are using. Most web pages will contain a combination of GIF and JPEG images. Decreasing the coding is called image compression. Both GIF and JPEG images can be compressed but the process is different. In GIF images we try to limit the number of colors, in a JPEG image we use software algorithms to remove redundant information from the file.

cheap private java support Whenever we compress a file we will lose some image quality. We have to reach a balance between a small file size and acceptable image quality. This is our Third Principle of Image File Size Reduction: Find the least acceptable level of image quality. Most images can handle some compression with very little quality loss, and all images can stand more image quality loss and still be acceptable. Your job is to decide how much quality loss you can accept.

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