Users of Samsung Galaxy A52s smartphones in several countries are enjoying the One UI 5.1 feature and now the company has pushed this major update of A52s in India as well.

Samsung Galaxy A52s is getting One UI 5.1 update in India with One UI firmware version A528BXXU2EWC1 and a big installation package size of 1386.87 MB. You can download and install the update to get a next-level experience.

Along with the Indian variant, the company is also expanding the One UI 5.1 update for Galaxy A52s in Iraq, Indonesia, Ireland, Spain, Austria, Switzerland, Bulgaria, France, Romania, and more countries.

One UI 5.1 update brings a slew of new features and improvements to make your Galaxy experience more innovative and smoother. Also, the update installs the latest Android patch released in March 2023 to improve system security and stability.

Samsung Galaxy A52s One UI 5.1 update – India #samsung #galaxyA52s pic.twitter.com/nUR6CBuGvE

— Samsung Software Updates (@SamsungSWUpdate) March 29, 2023

The latest update brings new camera features, Enhanced remastering, Shared family Album, revamped image info display, multitasking in DeX, advanced Modes & Routines, Dynamic Weather widget, new contact widget, battery widget, improved Internet Browsing, and more.

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Galaxy A52s users can download the update via the Settings app, then tap on Software updates, and press the Download and install option. Follow the on-screen instructions to install the update.

In the first week of February, Google made Android 14 official with a plan to begin public distribution in the third quarter of the year. The One UI 6 Beta is a future thing, but which Samsung Galaxy devices will be eligible for it? This page helps you ensure eligibility.

One UI was first introduced in 2019, and since then, Samsung runs its own Beta testing for Galaxy devices every year. No doubt, the Korean tech giant will bring One UI 6, based on Android 14, expected to roll out for Galaxy flagships later this year.

With Android 13, the company achieved its fastest rollout in history and future rollouts would hopefully amaze the industry and fans. This year, the Galaxy S23 will be the first Samsung device to get the Beta/Stable update of Android 14.

In 2022, Samsung started the One UI 5 Beta program a few days ahead of the official Android 13 release. Chinese phone makers managed to deploy the Stable version with their custom skins ahead of Samsung, but the company has concluded the rollout in 2022 itself.

The recently released Galaxy S23 flagship is eligible to get the Android 14-based One UI 6 Beta ahead of all models. To be specific, we will tell you which device will get the One UI 6 Beta this year.

Samsung One UI 6 Beta:

• S23, S23 Plus and S23 Ultra
• S22, S22 Plus and S22 Ultra
• Z Fold 4 and Z Flip 4
• S21, S21 Plus and S21 Ultra
• Z Fold 3 and Z Flip 3

Chinese promotion aside, Samsung proved that it is the best non-Google Android vendor which offers user-friendly Beta testing. Do note that the Beta firmware includes some bugs due to experimental and undeveloped features, therefore, if you don’t want any bugs, stay on the Stable build.

Apart from Galaxy flagships, the Korean tech giant also expands the One UI Beta Program to select Galaxy A and M series smartphones.

GIF feature is used to express emotions other than stickers. It stands for Graphics Interchange Format which supports both animated and static images. Samsung already offers a bunch of photo editing tools for Galaxy devices with One UI, and with One UI 5.1, the company has added the GIF Remaster feature.

The GIF also has unique advantages such as expressive transparent background, so it is actively used, but because it is an old format, there are quality problems. That’s why, Samsung added the GIF Remaster feature that applies the latest deep-learning techniques to improve the quality of GIF images.

The company introduced the GIF Remaster feature with the Samsung Galaxy S23 series and is currently expanding to supported models only that are running on One UI 5.1 or higher. Like other Remastered features, you can access it from the Gallery suggestions screen or the Single View screen.

GIF Remaster feature 

GIF Remaster uses deep learning techniques to improve picture quality. Deep learning training involves a large amount of data, so it is very effective for improving GIFs with different types and quality degradation.

How does it work?

Noise Cancellation and Upscale

The noise generated by quantization and dithering varies greatly depending on the parameter settings when creating the GIF, and the magnitude of the noise is much larger than that of later developed encoding methods.

Recreating GIFs through deep learning can effectively reduce both types of noise. Also, GIF images usually have a lower resolution. GIF Remaster upscaling up to 2x for added detail and clarity.

Image on the right is the result

Transparent background GIF preprocessing

If an image with a transparent background is passed through a deep learning network, unwanted noise will be generated at the pixels at the edge of the object, as shown in the 1st image below [without preprocessing].

This is because deep learning networks also refer to the color of neighboring pixels when generating pixels at the edge of an object. The opacity of the transparent background pixels is set to 0 so that they are practically invisible, but the RGB value information (mainly black 0) is still valid, so the RGB information of this transparent pixel affects the deep learning network and reduces noise.

GIF Remastering creates results without edge noise, as shown in [Applying preprocessing] last image below, by applying a deep learning network algorithm that processes transparent background pixels to leave them unaffected. The technology is currently patented.

How’s GIF created?

GIF images are created from raw images in two main steps: lossy compression and lossless compression. The second stage, lossless compression, uses LZW encoding, which is a type of entropy encoding, similar to ZIP file compression without losing information easily. On the other hand, in lossy compression, information is lost in the first stage, resulting in a loss of quality.

Quantization 

GIF converts the colors of the input pixels to 8-bit 256 or smaller, a process called quantization. Images such as JPEG represent 16,777,216 colors at 24 bits per pixel, and the difference from the original image can cause noticeable discomfort when converted to GIF.

Dithering

A process of hiding the discomfort caused by quantization error by adding artificial noise is sometimes implemented, called dithering. Dithering can make the boundaries between quantized regions smoother, but adding noise by rules can accidentally produce unpleasant noise.