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Any text from the border should instead be in the caption. If the border has author or license information, add it to the file's EXIF information. To crop the image yourself, use the CropTool. If cropping a JPEG, consider using a lossless cropping tool such as jpegtran. For more help, see Wikipedia:Images for cleanup.
This flag vector is necessary in order to correctly flatten nested parallelism. For example, it is used in the flattening of prefix sum to segmented scan. Flattening can increase the asymptotic work and space complexity of the original program, leading to a much less efficient result. [3]
An increase of Laravel's userbase and popularity lined up with the release of Laravel 3. [1] Laravel 4, codenamed Illuminate, was released in May 2013. It was made as a complete rewrite of the Laravel framework, migrating its layout into a set of separate packages distributed through Composer, which serves as an application-level package manager.
There are three variants: the flattening , [1] sometimes called the first flattening, [2] as well as two other "flattenings" ′ and , each sometimes called the second flattening, [3] sometimes only given a symbol, [4] or sometimes called the second flattening and third flattening, respectively.
Original image to be made narrower Scaling is undesirable because the castle is distorted. Cropping is undesirable because part of the castle is removed. Seam carving. Seam carving (or liquid rescaling) is an algorithm for content-aware image resizing, developed by Shai Avidan, of Mitsubishi Electric Research Laboratories (MERL), and Ariel Shamir, of the Interdisciplinary Center and MERL.
Cropping is the removal of unwanted outer areas from a photographic or illustrated image. The process usually consists of the removal of some of the peripheral areas of an image to remove extraneous visual data from the picture, improve its framing, change the aspect ratio, or accentuate or isolate the subject matter from its background.
The program traces the contour by moving from one border pixel to the next, ensuring that each boundary pixel is only visited once. This systematic technique promotes computing efficiency. The tracing process continues until the algorithm returns to the first border pixel, completing the contour of the item.
In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more.This is accomplished by doing a convolution between the kernel and an image.