For the most accurate results from NormalizeScaleGradient,
you need to purchase a license for the C++ module NSGXnml.
This runs in the background and enables all of
NSG's extra capabilities. See the
Purchase page.
Customer Reviews (NSG)
Shounen Ga Otona Ni Natta Natsu - 01 Upd -
A 4-episode adaptation focusing on visual design and voice acting. Themes and Audience Reception
(often translated as "The Summer a Boy Became a Man") is a popular adult-oriented title that has gained significant attention in the anime and manga community. Originally a manga by artist Jairou , it follows the emotional and physical transformation of its young protagonist during a pivotal summer . Plot Overview & Premise
Kaito looked at his hands. “I didn’t know what to say.”
: The episode sets the stage for a "destined first meeting" between the young athlete and the adult star. Production Context Original Creator Animation Studio Release Date (EP 01) September 6, 2024 Episode Length Approx. 20 minutes Format 4-episode series shounen ga otona ni natta natsu - 01
(translated as "The Summer the Boy Became an Adult - Episode 1" ) represents the initial chapter of a contemporary adult romance property that has successfully transitioned from print to animation. Originating as a popular manga series by creator Jairou, the franchise gained significant traction for its blend of coming-of-age drama and mature themes. The franchise expanded its reach with an adult animated (OVA) adaptation produced by studio Queen Bee. Conceptual Narrative and Plot Core
The boy may be forced to take care of a younger sibling, deal with a grandparent's illness, or take on a part-time job that exposes him to adult hardships.
Episode 01 sets a distinct atmospheric stage. Let's break down what makes this opening chapter stand out, the core themes it establishes, and what it means for the rest of the series. 🌊 The Setting: Nostalgia and the Weight of Summer
Shounen ga Otona ni Natta Natsu - 01 is more than just an adult animation. It is a story about the painful, exhilarating, and confusing moment when a boy crosses the threshold into manhood. The first episode successfully establishes the characters, setting, and conflict, hooking the viewer with its mystery and sensual atmosphere. While the anime adaptation has its flaws—pacing issues, omitted scenes, and occasionally stiff animation—the underlying story by Jairou remains a standout in its genre.
2024 • 4 episodios. La temporada 1 de Shounen ga Otona ni Natta Natsu se estrenó el 6 de septiembre de 2024. The Movie Database Shounen ga Otona ni Natta Natsu (2024) - TMDB Plot Overview & Premise
Kaito looked at his hands
The loss of a grandparent, a pet, or a friend makes the abstract concept of death frighteningly real.
The protagonist wonders why his older sister Rinko (Reiko) hasn’t shown him her room in four years. When he finally opens the door, he discovers Rinko’s true nature, leading him to an emotional release amidst the chaos. The secret between them will linger into their adulthood.
The search volume for “shounen ga otona ni natta natsu - 01” persists because the full series is notoriously difficult to find legally. Moonphase studio went bankrupt in 2005, and the original film reels for episodes 2-4 were damaged in a storage fire. Only episode 01 survived in pristine condition on a forgotten DVD master discovered in 2019.
The manga also explores the classic coming-of-age themes of identity, self-discovery, and the search for meaning. Shunsuke is torn between his desire for independence and his need for guidance, struggling to navigate the complexities of adolescence. As he faces various challenges and setbacks, he begins to question his own identity and purpose in life.
Xu Kang, May 2025
... Your dedication to advancing astrophotography post-processing deserves sincere appreciation.
I look forward to pushing the boundaries of imaging with these sophisticated algorithms.
Sky at Night magazine, October 2023, p78
Mathew Ludgate, Astronomy Photographer of the year shortlisted entrant in the 'Stars and Nebulae' category:
... After using the WBPP script in PixInsight to perform image calibration and registration,
I utilised the Normalize Scale Gradient (NSG) script by John Murphy.
This corrects the brightness and gradient of your subs using
differential photometry to model the relative scales and gradients.
I image at a dark site but I still find NSG very useful as a first step...
Paul Denny, 2023
... thank you for writing this script [NSG]
and making it available to the astrophotography community.
I am quite new to this and still on a steep learning curve,
but I do know enough to see what a great tool this is,
as is your excellent documentation and YouTube videos.
I feel as though I understand and have control over this part
of the processing flow for the first time.
AdamBlockStudios, Adam Block, 2022
... I helped (with some advice and ideas) the brilliant John Murphy as he crafted NormalizeScaleGradient (NSG).
The normalization and weighting of data is a fundamental and critical component of image processing.
NormalizeScaleGradient (NSG) normalizes the scale and gradient to that of the reference image.
Differential stellar photometry is used to determine the scale, and a surface spline to model the relative gradient.
It is designed to achieve the following goals:
Scaling the target images: This involves multiplying each target image by a factor to
make its (brightness) scale match that of the reference image. This has to be done before gradient removal.
Relative gradient removal: After normalization, all the target frames
will only contain the gradient present in the reference image.
By choosing the reference image carefully, the overall gradient is reduced and simplified.
Image weights: Calculate image weights using the scientifically correct formula
(signal to noise ratio)²
Accurate normalization is crucial for good data rejection while stacking.
Finding the best reference image
PixInsight already includes a blink tool, but for judging gradients, the displayed images can be misleading.
The reason for this is it's difficult to display all the images in a completely fair way;
The STF and Histogram functions do not accurately normalize the images.
An image with a large gradient is likely to be scaled differently to an image without light pollution.
This makes it difficult to determine how the image gradients compare.
The NSG blink dialog is specialized for finding the best reference image:
Normalizes all the images for scale and offset. This normalization corrects the average background level, but not the gradient.
Displays the original background level, and an estimate of the gradient in two different directions.
Sorts the blink images by NWEIGHT.
Integer zoom to allow individual pixel inspection without interpolation. The window is resizable, with scrollbars when needed.
Ability to blink between the current image and a bookmarked image.
Ability to control the STF that is applied to all the images.
Maximize available screen space.
Automatically releases memory after the dialog is closed.
Accurate scale factor
Photometry is used to determine a very accurate (brightness) scale factor.
Great care is taken to ensure that exactly the same stars are used in the
reference and target images.
Gradient correction: What you see is what you get.
Mouse over the image to display the gradient correction.
This simulates the user toggling the 'Gradient corrected target' checkbox.
If the reference checkbox is not selected (as in this example),
it blinks between the uncorrected and corrected target image.
If the reference checkbox is selected,
it blinks between the reference image and corrected target image.
Modify the 'Gradient smoothness' until the correction is excellent.
What you see is what you get, making it easy to achieve optimum results.
It is important to understand that NSG
is designed to make the target image's gradient match
the reference image. Any gradient in the reference image will remain and must be removed
after stacking with a process such as DynamicBackgroundExtraction.
Transmission graph: Detect the clouds!
A sudden dip indicates a reduction in the astronomical signal
(this graph ignores variations in light pollution). A sudden dip indicates
clouds, or a partially obscured telescope aperture (for example, by the dome).
Clouded images are always worth removing because they can introduce complex gradients
that are difficult to remove. We want our image to faithfully represent the astronomical
object, and not the local weather conditions!
Weight graph: Specify image weight cut off.
The image weight is calculated from the (signal to noise ratio)².
This is affected by transmission, light pollution and camera noise.
ImageIntegration: Displayed on NSG exit.
On NSG's exit,
ImageIntegration is invoked, configured to use NSG's results.
The Normalization is set to 'Local normalization' (In hindsight, I should probably have called NSG
'PhotometricLocalNormalization', but it's probably too late to change its name now).
ImageIntegration will use the *.xnml local normalization files that
NSG created. These files contain the
(brightness) scale factor and gradient correction; ImageIntegration will apply them to the target images.
The 'Weights' is set to 'PSF Scale SNR'. This instructs ImageIntegration to use the
weights that NSG calculated and stored within the *.xnml local normalization files.
The target files are added to ImageIntegration in order of decreasing weight.
Images that failed either the transmission or weight cutoff criteria are disabled with a 'x'.
