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Our product uses neural networks with a special algorithm adjusted specifically for the images' lines and color.
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With other software and tools, such as PS, an enlarged image can still look fuzzy and have visible blur as well as noise.
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This allows the images to be enlarged without losing quality. Using the latest Deep Convolutional Neural Networks, bigjpg intelligently reduces noise and serration in images. INTERPOLATION ARTIFACTS TO WATCH OUT FORĪll non-adaptive interpolators attempt to find an optimal balance between three undesirable artifacts: edge halos, blurring and aliasing.Android App Google Play How does bigjpg enlarge images? However, for single-step enlargements or rotations, these higher-order algorithms provide diminishing visual improvement as processing time is increased. They are therefore extremely useful when the image requires multiple rotations / distortions in separate steps. These algorithms include spline and sinc, and retain the most image information after an interpolation. There are many other interpolators which take more surrounding pixels into consideration, and are thus also much more computationally intensive. HIGHER ORDER INTERPOLATION: SPLINE & SINC
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For this reason it is a standard in many image editing programs (including Adobe Photoshop), printer drivers and in-camera interpolation. Bicubic produces noticeably sharper images than the previous two methods, and is perhaps the ideal combination of processing time and output quality. Since these are at various distances from the unknown pixel, closer pixels are given a higher weighting in the calculation. These algorithms can be used to both distort and resize a photo.īicubic goes one step beyond bilinear by considering the closest 4x4 neighborhood of known pixels - for a total of 16 pixels. The more adjacent pixels they include, the more accurate they can become, but this comes at the expense of much longer processing time. Depending on their complexity, these use anywhere from 0 to 256 (or more) adjacent pixels when interpolating.
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Non-adaptive algorithms include: nearest neighbor, bilinear, bicubic, spline, sinc, lanczos and others. smooth texture), whereas non-adaptive methods treat all pixels equally. Adaptive methods change depending on what they are interpolating (sharp edges vs. TYPES OF INTERPOLATION ALGORITHMSĬommon interpolation algorithms can be grouped into two categories: adaptive and non-adaptive. The above results could be improved significantly, depending on the interpolation algorithm and subject matter. Note the overall decrease in contrast evident by color becoming less intense, and how dark haloes are created around the light blue. The above results use what is called a "bicubic" algorithm, and show significant deterioration. One should therefore avoid rotating your photos when possible if an unleveled photo requires it, rotate no more than once. Note how most of the detail is lost in just the first rotation, although the image continues to deteriorate with successive rotations. The 90° rotation is lossless because no pixel ever has to be repositioned onto the border between two pixels (and therefore divided).
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