Kusarasikirwa vs Kurasika Compression Inotsanangurwa: Iyo Yakazara Gwaro
Nzwisisa misiyano yakakosha pakati pemhando dzekumanikidza, maalgorithms avo, maapplication, uye nzira yekusarudza iyo chaiyo kune zvaunoda chaizvo.
Kunzwisisa Data Compression
Kutsikirira data inzira yakakosha muhunyanzvi hwedhijitari iyo inoderedza saizi yemafaira nekubvisa redundancy uye kugadzirisa zvakare ruzivo. Sezvo nyika yedu yedhijitari ichikura nemifananidzo yakakwira-resolution, mavhidhiyo e4K, uye mashandisirwo akaomarara, kudzvanya kwakanaka kunowedzera kukosha pakugadzirisa kuchengetedza, kukurumidza kutumira data, uye kuderedzwa kwekushandiswa kwebandwidth.
Compression algorithms inowira mumapoka maviri ekutanga: isina kurasikirwa uye kurasikirwa. Kunzwisisa mutsauko uripo pakati penzira idzi kwakakosha pakuita sarudzo dzine ruzivo nezve machengetero, kutumira, uye kushanda nedhijitari data pane akasiyana maapplication nemaindasitiri.
Sei Kumanikidza Kunokosha
Kuputika kwezvinyorwa zvedhijitari kwaita kuti kudzvanywa kuve kwakanyanya kukosha kupfuura nakare kose. Kubva pakutepfenyura masevhisi achiendesa 4K vhidhiyo kune nharembozha, kumapuratifomu ekuchengetera makore anogara mabhiriyoni emafaira, kumabhurawuza ewebhu anorodha mapeji akaomarara mumamilliseconds-compression technologies isimba risingaoneki rinoita kuti nyika yedu yedhijitari ishande nemazvo.
Kusarasikirwa vs Kurasika: Makiyi Misiyano
Kusarasikirwa Kudzvinyirira
Yakakwana kugadziridzwa kwekutanga data
Lossy Compression
Kuderedza data nekurasikirwa kwehutano hunogamuchirwa
Preserves 100% yedata rekutanga. Kana yadzikiswa, mhedzisiro yacho bit-for-bit yakafanana nekwakabva.
Inobvisa zvachose data inonzi haina kukosha. The faira rekutanga harigone kudzoserwa zvakakwana mushure mekumanikidza.
Kazhinji anobudirira 2:1 kusvika ku5:1 compression ratios zvichienderana nerudzi rwe data. Kuganhurirwa nezvinodiwa kuchengetedza ruzivo rwese.
Inogona kuwana chiyero chepamusoro, kazhinji 10:1 kusvika 100:1 kana kupfuura, nekurasa “perceptually redundant” ruzivo.
Mavara, zvirongwa zvinogoneka, dhatabhesi, mifananidzo yezvokurapa, chengetedzo yezvinyorwa, hunyanzvi hwekufambisa, chero chinhu chinoda kuvakwa patsva.
Mapikicha, mimhanzi, kutenderera kwevhidhiyo, web graphics, uye mamwe maapplication uko kumwe kurasikirwa kwedata kunogamuchirwa nezvinangwa zvinoshanda.
Inogona compress uye decompress kakawanda pasina kuora mwoyo. Iyo 100th decompression yakafanana neyekutanga.
Imwe neimwe recompression inosuma kuwedzera kwehutano kurasikirwa. Iyi “kurasikirwa kwechizvarwa” inounganidza pamwe nekutenderera kwega kwega.
Kazhinji zvinoda shoma computational simba ye encoding/decoding kana ichienzaniswa neyepamusoro kurasikirwa algorithms.
Kazhinji zvinoda zvimwe computational zviwanikwa, kunyanya kune algorithms epamusoro senge vhidhiyo codecs.
Kutsikirira Kusina Kurasika Kunotsanangurwa
Chii chinonzi Lossless Compression?
Kutsikirira kusingarasikike kunoderedza saizi yefaira nekuzivisa uye kubvisa manhamba redundancy pasina kubvisa chero ruzivo. Kana yadzikiswa, faira racho rinenge diki-for-bit rakafanana nerekutanga, risina kurasikirwa zvachose mumhando kana kuperera kwedata.
Kushanda Kusina Kurasika Compression
Inossless compression algorithms inoshandisa akasiyana matekiniki ekudzikisa saizi yefaira uchiona kuvakwazve kwakakwana kweiyo yekutanga data. Idzi nzira dzinoongorora mapatani, mafambisirwo, uye zvimiro mukati medata kuti ive kodhi zvakanyanya pasina kurasikirwa neruzivo.
Run-Length Encoding (RLE)
RLE inotsiva kutevedzana kwezvinhu zvakafanana data (inomhanya) ine kukosha kumwe uye kuverenga. Semuyenzaniso, “AAAAAABBBCCCCC” inova “6A3B5C”, ichidzikisa zvakanyanya saizi yedata ine akawanda anodzokororwa kutevedzana.
Original: WWWWWWWWWWBBBWWWWWWWWWWWWBBBWWWWWWWWWW Compressed: 10W3B12W3B10W
Huffman Coding
Iyi nzira inopa macode-akareba-kusiyana kune mavara ekuisa, aine macode mapfupi kune akawanda anowanzoitika mavara. Maitiro echiverengero aya anokwenenzvera encoding zvichibva pakugovera frequency yeanhu.
Frequent character 'e': 101 Less frequent 'z': 1010101011
LZ77 & LZ78 Algorithms
Idzi nzira dzeduramazwi dzinotsiva kudzokororwa kwedata nereferensi kune imwe kopi yatovepo murukova rusina kudzvanywa. Ivo vanoumba hwaro hwemafomati anozivikanwa seZIP uye GIF.
Instead of storing "compression compression" Store "compression [pointer to earlier instance]"
Deflate algorithm
Kubatanidza LZ77 uye Huffman coding, Deflate inopa yakanakisa compression nekumhanya kwakanaka. Inoshandiswa muZIP, PNG, uye HTTP compression (gzip), ichiiita imwe yeanonyanya kushandiswa algorithms.
- ZIP archives
- PNG mifananidzo
- HTTP compression (gzip)
Arithmetic Coding
Iyi nzira inomiririra mharidzo sehuwandu hwenhamba pakati pe 0 ne 1. Inogona kubudirira kumanikidzira ratios pedyo neinoretical entropy limit, zvichiita kuti inyatsoshanda kune mamwe marudzi e data.
Inogona encode mabhiti echidimbu pachiratidzo, ichipa zvirinani compression kupfuura Huffman kune akawanda masosi.
Delta Encoding
Panzvimbo pekuchengeta hunhu hwakakwana, delta encoding inochengetedza misiyano pakati pezvinoteedzana tsika. Izvi zvinonyanya kushanda kune data apo hunhu hwepedyo hwakafanana, senge audio samples kana masensor kuverenga.
Original: 105, 107, 106, 110, 108 Delta: 105, +2, -1, +4, -2
Common Lossless File Formats
Archives
Images
Vadivelu Comedy Audio
Kurasika Kudzvinyirirwa Kunotsanangurwa
Chii chinonzi Lossy Compression?
Kurasika kudzvanya kunoderedza saizi yefaira nekubvisa zvachose rumwe ruzivo, kunyanya dhata diki kana risinganyanyi kukosha. Iyo decompressed faira yakasiyana neyekutanga, asi misiyano yakagadzirirwa kuve yakaoma kana isingagoneki kuti vanhu vaone mumamiriro ezvinhu akajairika.
Iyo Lossy Compression Inoshanda sei
Lossy compression inowana yakanyanya kukwirisa mareshiyo nekuita sarudzo dzehungwaru pamusoro peiyo data yekurasa. Aya maalgorithms anowedzera ruzivo nezve maonero evanhu-izvo maziso edu nenzeve zvinogona uye zvatisingakwanise kuona-kubvisa ruzivo nenzira dzinoderedza zvinoonekwa pamhando.
Shandura Coding
Iyi dhizaini inoshandura data kubva kune imwe dura (senge nzvimbo) kuenda kune imwe (senge frequency) uko kudzvanya kunogona kushandiswa zvakanyanya. Iyo Discrete Cosine Shanduko (DCT) inoshandiswa muJPEG muenzaniso wakanaka.
- Shandura mabhuroki emifananidzo kuita frequency zvikamu
- Quantize iyo yakakwirira-frequency zvikamu zvakanyanya nehukasha
- Maziso emunhu haanyanyi kuona ma frequency aya
Quantization
Quantization inoderedza kurongeka kwe data data. Inoisa mamepu ehuwandu hwehuwandu hwekupinza kune diki seti yezvinobuda zvakakosha, zvinobudirira kuderedza nhamba yebhiti inodiwa kumiririra data.
Original values: 4.13, 4.28, 4.97, 4.02 Quantized to: 4, 4, 5, 4
Psychoacoustic Modelling
Inoshandiswa mukutsikirira odhiyo, nzira iyi inoshandisa kusakwanisa kwekunzwa kwevanhu. Inotaridza kuti ndeapi maodhiyo ezvikamu anogona kubviswa pasina kukanganisa anonzwisiswa kunaka kweruzha.
- Auditory masking: Louder inonzwika mask inonyarara inonzwika
- Frequency sensitivity: Vanhu vanonzwa yepakati-renji ma frequency zvakanyanya
- Temporal masking: Ruzha runogona kuvhara zvimwe zvinoitika nguva pfupi isati yasvika / mushure
Perceptual Coding
Zvakafanana ne psychoacoustic modeling asi yekuona data, nzira iyi inobvisa ruzivo rwekuti maziso evanhu haakwanise kuona, kunyanya mune yakakwirira-frequency ruzivo uye kusiyana kwemavara.
Inoshandiswa muJPEG, MPEG, uye mamwe maitiro ekumanikidza ekuona kukoshesa data yakakosha.
Motion Muripo
Vhidhiyo yekutsikirira nzira iyo inoshandisa chinguva kudzoka nekodhi mutsauko pakati pemafuremu pane yega yega furemu yakazara. Chete shanduko kubva kune imwe furemu kuenda kune inotevera ndidzo dzakazara encoded.
- Chengetedza akazara “makiyi maficha” (I-mafuremu) nguva nenguva
- Kune mamwe mafuremu, chengetedza misiyano chete (P-maframe) kana misiyano yebidirectional (B-maframe)
- Mhedzisiro mukuderedzwa kukuru kwefaira revhidhiyo
Chroma Subsampling
Iyi nzira inoderedza ruzivo rwemavara kupfuura ruzivo rwekupenya, ichitora mukana weziso remunhu rekunzwa kukuru kupenya pane kusiyanisa kwemavara.
- 4:4:4 – Hapana subsampling (ruvara ruzere)
- 4:2:2 – Mahafu akachinjika kutaridzika kweruvara
- 4:2:0 – Halves zvese zvakachinjika uye zvakadzika neruvara rwekugadziriswa
Common Lossy File Formats
Images
Vadivelu Comedy Audio
Vhidhiyo
Inoshanda Zvishandiso uye Nyaya dzekushandisa
Digital Photography
Kusarasikirwa Kudzvinyirira
- RAW kuchengetedzwa kwemafomati ehunyanzvi mafoto
- Archive-mhando yekuchengetedza yemifananidzo yakakosha
- Mifananidzo inoda yakakura post-kugadzirisa kana kugadzirisa
- PNG fomati yemifananidzo ine mavara kana inopinza mipendero
Lossy Compression
- JPEG yemapikicha emazuva ese uye kugovera pawebhu
- Thumbnail kugadzirwa kwemagarari uye zvitarisiko
- Social media uploads uko miganhu yesaizi inoshanda
- Email zvakanamirwa uye mameseji mameseji
Audio Production
Kusarasikirwa Kudzvinyirira
- Master kurekodha mumastudio (WAV, FLAC)
- Audiophile mumhanzi muunganidzwa
- Audio engineering uye inyanzvi kugadzirisa
- Kuchengetwa kwezvakarekodhwa zvakakosha
Lossy Compression
- Kutepfenyura masevhisi (Spotify, Apple Music)
- Inotakurika mimhanzi inoridza ine shoma yekuchengetedza
- Internet radio uye podcasts
- Mimhanzi yekumashure yemavhidhiyo uye mharidzo
Kugadzira Vhidhiyo
Kusarasikirwa Kudzvinyirira
- Mafirimu uye TV kugadzira masters
- Visual effects source materials
- High-budget basa rekutengeserana
- Zvinyorwa zvekurapa uye zvesainzi vhidhiyo
Lossy Compression
- Kutepfenyura mapuratifomu (Netflix, YouTube)
- Broadcast terevhizheni
- Vhidhiyo musangano uye webinars
- Zvikamu zvevhidhiyo zvesocial media
Web Development
Kusarasikirwa Kudzvinyirira
- PNG yemalogo, zvidhori, uye magirafu ane pachena
- SVG ye scalable interface zvinhu
- WebP haina kurasikirwa yemifananidzo yakaoma inoda mhando yakakwana
- Zvinyorwa-based asset compression (HTML, CSS, JavaScript)
Lossy Compression
- JPEG kana WebP yemifananidzo uye yakaoma mifananidzo
- Vhidhiyo yeMP4 ine macodecs akakodzera
- Background mumhanzi uye ruzha mhedzisiro
- Progressive image loading kuitira kukurumidza kuonekwa kuita
Kuchengeta Data & Kuchengeta
Kusarasikirwa Kudzvinyirira
- Database backups uye kunze kwenyika
- Source code repositories
- Zvinyorwa zvinyorwa (PDF, mafaira eHofisi)
- Zvinyorwa zvebhizimisi zvakakosha uye zvinyorwa zvepamutemo
Lossy Compression
- Vhidhiyo yekutarisa ine zvinogamuchirika zvemhando zvinodiwa
- Isiri-yakakosha midhiya matura uko kumwe kurasikirwa kwemhando kunogamuchirwa
- Automated backups yezvinyorwa zvinogadzirwa nemushandisi
- Yakakura-chiyero data apo kuvimbika kwakakwana kusingadiwi
Mobile Applications
Kusarasikirwa Kudzvinyirira
- Anwendung executable mafaira uye kodhi
- UI zvinhu zvinoda mhando yakakwana
- Zvinyorwa uye kugadzirisa data
- Yakakosha mushandisi data backups
Lossy Compression
- In-app mifananidzo uye magirafu
- Vhidhiyo Tutorials uye kuratidzwa
- Audio zviziviso uye manzwi
- Zvemukati zvakachengetwa kuti zvionekwe pasina Indaneti
Compression Types by File Format
Mafomati akasiyana efaira anoshandisa chaiyo compression matekiniki akagadziridzwa kune yavo yemukati mhando. Kunzwisisa kuti ndeapi mafomati anoshandisa nzira dzekumanikidza kunokubatsira kuita sarudzo dziri nani nezve kuchengetedza uye kugovera yako yedhijitari zvemukati.
| Format | Type | Compression Method | Yakanyanya Kushandiswa Kune | Compression Ratio |
|---|---|---|---|---|
| Image Formats | ||||
| PNG | Pasina kurasikirwa | Deflate (LZ77 + Huffman) | Graphics, screenshots, mifananidzo ine mavara kana pachena | 1.5:1 kusvika 3:1 |
| JPEG | Kurasika | DCT, quantization | Mapikicha, mifananidzo yakaoma ine yakatsetseka shanduko yemavara | 10:1 kusvika 20:1 |
| WebP | Hybrid | Predictive coding (rasika), VP8 intra-frame (isina kurasikirwa) | Webhu mifananidzo, inopindura mifananidzo | Kurasika: 25-35% idiki pane JPEG Kurasikirwa: 26% idiki pane PNG |
| TIFF | Pasina kurasikirwa | Yakasiyana-siyana (LZW, ZIP, nezvimwewo) | Nyanzvi yekutora mifananidzo, kudhinda, kuchengetedza | 1.5:1 kusvika 3:1 |
| AVIF | Kurasika | AV1 intra-frame coding | Next-gen web mifananidzo, advanced applications | Kusvika ku50% idiki pane JPEG |
| Vadivelu Comedy Audio Formats | ||||
| MP3 | Kurasika | Psychoacoustic modeling, MDCT | Mimhanzi, podcasts, kuterera kwese | 10:1 kusvika 12:1 |
| FLAC | Pasina kurasikirwa | Linear kufanotaura, Rice coding | Audiophile mimhanzi kuunganidzwa, kuchengetedza | 2:1 kusvika ku3:1 |
| AAC | Kurasika | Advanced psychoacoustic modelling | Digital kutepfenyura, masevhisi ekutepfenyura | Hunhu hurinani pane MP3 panguva imwe cheteyo |
| Opus | Kurasika | SILK + CELT macodecs | Kutaurirana nenzwi, chaiyo-nguva zvikumbiro | Kupfuura mamwe macodecs pa low bitrate |
| WAV | Uncompressed | Hapana (kazhinji, kunyangwe kumwe kumanikidza kunogoneka) | Studio kurekodha, tenzi maodhiyo mafaira | 1: 1 (hapana compression by default) |
| Vhidhiyo Formats | ||||
| H.264/AVC | Kurasika | Motion muripo, DCT, CABAC/CAVLC | Kutenderera, kutepfenyura, vhidhiyo yedhijitari | 50:1 kusvika 100:1 |
| H.265/HEVC | Kurasika | Yepamberi mafambiro ekufanotaura, mabhuroko makuru ekukodha | 4K/8K zvemukati, yakanyanya-kubudirira kutenderera | 25-50% zviri nani pane H.264 |
| AV1 | Kurasika | Sophisticated kufanotaura uye shandura coding | Kutepfenyura chizvarwa chinotevera, maapplication emahara | 30% iri nani pane HEVC |
| ProRes | Kurasika (zvisina kurasikirwa) | DCT-based intraframe | Kugadziriswa kwevhidhiyo, post-kugadzirwa | 5:1 kusvika 10:1 (zvinoenderana nekusiyana) |
| FFV1 | Pasina kurasikirwa | Golomb-Rice makodhi, mamiriro ekuenzanisa | Kuchengeta vhidhiyo, kuchengetedza | 2:1 kusvika ku3:1 |
| Mafomu Manyoro | ||||
| Hybrid | Deflate (zvinyorwa), JPEG/JBIG2 (mifananidzo) | Kugovera magwaro, mafomu, zvinyorwa | Inosiyana zvakanyanya nezviri mukati | |
| DOCX/XLSX | Pasina kurasikirwa | ZIP (musimboti), dzakasiyana kune dzakamisikidzwa zvinhu | Zvinyorwa zvehofisi, maspredishiti | 1.5:1 kusvika 3:1 |
| EPUB | Hybrid | ZIP (mudziyo), zvakasiyana-siyana zvemukati | E-mabhuku, zvinyorwa zvedhijitari | Zvinoenderana nemhando yemukati |
| Archive Formats | ||||
| ZIP | Pasina kurasikirwa | Deflate (LZ77 + Huffman) | General file archiving, cross-platform kuenderana | 2:1 kusvika 10:1 (zvinoenderana nezviri mukati) |
| 7Z | Pasina kurasikirwa | LZMA, LZMA2, PPMd nezvimwe. | High-ratio compression zvinodiwa | 30-70% zviri nani pane ZIP |
| RAR | Pasina kurasikirwa | Proprietary algorithm | Maximum compression ine proprietary tools | 10-30% zviri nani pane ZIP |
Maitiro ekusarudza iyo Yakarurama Compression Type
Kugadziriswazve kwakakwana kwedata rekutanga kwakakosha here?
Ko zvimhingamipinyi zvekuchengetedza kana bandwidth zvimisikidzo zvinonetsa?
Izvo zvirimo zvichaenderera mberi nekugadzirisa kana kugadziriswa here?
Maitiro Akanakisa eCompression Strategy
- Chengetedza vatenzi vepakutanga nekumanikidza kusina kurasikirwa kana mune uncompressed format pose pazvinogoneka. Izvi zvinoshanda se “negative” yako yedhijitari.
- Gadzira shanduro dzakarasika dzekugovera nekugovana kuenzanisa hutano nehukuru hwefaira zvichienderana nekushandiswa kwakagadzirirwa.
- Chimbofunga nzira ine nhanho ine mazinga akasiyana ekumanikidza ezvinangwa zvakasiyana (archival, mafaira ekushanda, kugovera).
- Edzai masisitimu akasiyana kuti uwane yakaringana chiyero pakati pehukuru hwefaira uye mhando yezvako zvemukati.
- Gara uchiziva nezve hutsva hwekumanikidza tekinoroji sezvo vachigona kupa kuvandudzwa kwakakosha mukubudirira uye kunaka.
- Nyora yako compression workflow kuve nechokwadi chekuenderana uye kuita ramangwana faira manejimendi nyore.
Mibvunzo Inowanzo bvunzwa
Unogona kushandura pakati pekusarasikirwa uye kurasikirwa kwekumanikidza?
Iwe unogona kugara uchishandura kubva pakusarasikirwa fomati kuenda kune yakarasika, asi zvakadzokera kumashure hazvigoneke. Kana ruzivo rwaraswa mukurasikirwa nekumanikidza, harugone kudzoserwa. Kushandura kubva kune yakarasika fomati kuenda kune isina kurasikirwa kuchachengetedza iyo faira mune yayo ikozvino mamiriro (kusanganisira chero yemhando kurasikirwa), asi haizodzorere iyo yekutanga data yakabviswa panguva yekutanga kurasikirwa kwekumanikidza.
Ko compression inokuvadza mafaera kana kuita kuti isanyatsogadzikana?
Kutsikirira kusina kurasikirwa hakumbokuvadzi mafaera-netsanangudzo, iyo decompressed faira yakafanana neyekutanga. Kurasika kudzvanya kunobvisa data zvachose, asi izvi nekugadzira uye kazhinji zvinonangana neruzivo rune kushomeka kwekuona. Kana zviri zvekugadzikana, mafaera akadzvanywa nemazvo haana kugadzikana zvishoma pane asina kudzvanywa. Nekudaro, mamwe mafaera akadzvanyirirwa zvakanyanya anogona kuve nyore kuita huori, sezvo chikanganiso chidiki chinogona kukanganisa data rakawanda kana ruzivo rwakazara.
Sei munhu angasarudza kurasikirwa nekumanikidza kana ichibvisa data?
Lossy compression inopa zvirinani zvirinani compression ratios pane nzira dzisina kurasikirwa, kazhinji ka10-100 idiki. Izvi zvinoita kuti ive inoshanda kune maapplication uko saizi yefaira, bandwidth, kana zvipingamupinyi zvekuchengetedza zvakakosha kufunga. Muono wakakosha ndewekuti kurasika kudzvanya kwakagadzirirwa kubvisa ruzivo rwusingawanzo cherechedzwa nevanhu kana rune mhedzisiro shoma pane inonzwisisika mhando. Kune akawanda maapplication-sekutepfenyura mimhanzi, kugovera mafoto, kana kuona mavhidhiyo-kutengeserana pakati pekudzikiswa kudiki kwehunyanzvi hwemhando uye kudzikiswa kukuru kwesaizi yefaira kunobatsira zvakanyanya.
Ko compression inokanganisa sei SEO yemifananidzo pawebhusaiti?
Kudzvanywa kwemifananidzo kunokanganisa zvakanyanya SEO kuburikidza nepeji remedhi kumhanya, inova yakakosha chinzvimbo cheinjini dzekutsvaga. Mifananidzo yakamisikidzwa zvakanaka inoderedza huremu hwepeji uye inonatsiridza nguva yekurodha, zvichitungamira kune zvirinani ruzivo rwemushandisi metrics uye yakakwirira yekutsvaga masanji. Nepo kurasikirwa kwekumanikidza kazhinji kunopa nani kuderedza saizi, kiyi iri kuwana chiyero chakakodzera-mifananidzo inofanirwa kudzvanywa zvakakwana kuti itakure nekukasira asi ichengetedze yakakwana mhando yekubatanidza vashandisi uye kuburitsa ruzivo zvinobudirira. Mafomati emazuva ano seWebP anopa kudzvanya kwakanakisa nemhando yakanaka, uye kushandisa mifananidzo inopindura kunopa dhizaini yakakwana pamidziyo yese.
Pane nzira yekumanikidza inoshanda zvakanaka kune ese marudzi e data?
Hapana imwechete yekumanikidza nzira inoshanda zvakaringana kune ese marudzi e data. Mhando dzakasiyana dzemukati dzine hunhu hwakasiyana hwehuwandu uye redundancies zvinogona kushandiswa. Mameseji anomanikidza zvakasiyana kubva kumifananidzo, iyo inomanikidza zvakasiyana kubva kune odhiyo kana vhidhiyo. Kunyangwe mukati mechikamu chakaita semifananidzo, pikicha ine mavara akatsetseka inotsikirira zvakasiyana pane inopinza-yakapinza graphic ine mavara mashoma. Ichi ndicho chikonzero mafomati akasarudzika aripo emhando dzakasiyana dzemukati, uye nei maturusi emazuva ano ekumanikidza achiwanzo ongorora zvirimo kuti ashandise algorithm inoshanda pane yega yega data data.
Ndinoziva sei kana ndiri kushandisa iyo chaiyo compression level?
Kuwana iyo chaiyo yekumanikidza level inoda kuenzanisa zvinhu zvitatu: saizi yefaira, mhando, uye nguva yekugadzirisa. Nekumanikidzwa kwekurasikirwa, ita bvunzo dzekuona kana dzekunzwa kuti uone papi iyo kuderedzwa kwemhando kunoonekwa kune chako chaicho uye vateereri. Nekumanikidza kusingarasikike, enzanisa akasiyana algorithms kuti uwane yakanyanya kuderedzwa saizi yerudzi rwe data rako. Zvishandiso zvakawanda zvinopa preset compression mazinga (semuenzaniso, yakaderera, yepakati, yakakwirira), iyo inopa yakanaka mapoinzi ekutanga. Gara uchiyedza iyo yakadzvanywa inobuda munzvimbo yainoda – yekumisikidza inotaridzika zvakanaka pamushini wako wekuvandudza inogona kunge isiri yakakwana pamidziyo yakasiyana kana pasi pemamiriro ekuona akasiyana.
Kumanikidza mafaera kakawanda kunokonzera kumwe kurasikirwa kwemhando here?
Nekumanikidza kusingarasikike, kudzokororwa kudzokororwa uye decompression mitsetse haina mhedzisiro pamhando – iyo faira inoramba yakafanana neyekutanga. Nekurasikirwa kwekumanikidzana, imwe neimwe nyowani yekudzvanya kutenderera inowanzo suma imwe yemhando yekurasikirwa, inozivikanwa se “chizvarwa kurasikirwa.” Izvi zvinonyanya kunetsa kana uchishandisa akasiyana algorithms kana marongero muzvizvarwa zvese. Semuenzaniso, kudzokorodza kugadzirisa uye kuchengetedza mufananidzo weJPEG zvishoma nezvishoma zvinoderedza kunaka kwayo. Kuti uderedze kurasikirwa kwechizvarwa, gara uchishanda kubva kune yepamusoro mhando sosi faira iripo, uye chengetedza basa repakati mumafomati asina kurasikirwa panguva yekugadzirisa.
Ita Sarudzo Yekudzvanyirira Yakaziviswa
Kunzwisisa mutsauko uripo pakati pekusarasikirwa uye kurasikirwa kwekumanikidza kunobatsira iwe kukwidziridza yako yedhijitari workflows, chengetedza nzvimbo yekuchengetera, uye ive nechokwadi chekuti zvirimo zvinochengetedza hunhu hwakakodzera hwekushandisa kwayo.